From 3d9d621429738eecce4ae0d6d2f4ffbd4ce08b4c Mon Sep 17 00:00:00 2001
From: "Campos Cordobes, Sergio" <sergio.campos@tecnalia.com>
Date: Mon, 24 Apr 2023 08:14:12 +0200
Subject: [PATCH] Update finalized_model.sav, banking_sample2.csv, dexi.py,
 ejemplo.txt, kpis_helsinki.dex, URBANITE, URBANITE_ModalChoice.xdsl,
 kpis.json, kpis_amsterdam.dex, kpis_area.json, kpis_bilbao.dex,
 kpis_messina.dex, kpis_relative.json, kpis_relative_area.json, pyvenv.cfg,
 start.sh, Urbanite_base_decision_model.dxi, model3.pkcls, modelo.pkcls,
 modelo_LR.pkcls, banking.csv, modelo NN.pkcls

---
 URBANITE                         |   330 +
 URBANITE_ModalChoice.xdsl        |   330 +
 Urbanite_base_decision_model.dxi |   582 +
 banking.csv                      | 41189 +++++++++++++++++++++++++++++
 banking_sample2.csv              |     2 +
 dexi.py                          |   814 +
 ejemplo.txt                      |     3 +
 finalized_model.sav              |   Bin 0 -> 738 bytes
 kpis.json                        |    34 +
 kpis_amsterdam.dex               |   338 +
 kpis_area.json                   |    35 +
 kpis_bilbao.dex                  |   597 +
 kpis_helsinki.dex                |     0
 kpis_messina.dex                 |   452 +
 kpis_relative.json               |    34 +
 kpis_relative_area.json          |    35 +
 model3.pkcls                     |   Bin 0 -> 208643 bytes
 modelo NN.pkcls                  |   Bin 0 -> 7288521 bytes
 modelo.pkcls                     |   Bin 0 -> 6980214 bytes
 modelo_LR.pkcls                  |   Bin 0 -> 7110247 bytes
 pyvenv.cfg                       |     3 +
 start.sh                         |     1 +
 22 files changed, 44779 insertions(+)
 create mode 100644 URBANITE
 create mode 100644 URBANITE_ModalChoice.xdsl
 create mode 100644 Urbanite_base_decision_model.dxi
 create mode 100644 banking.csv
 create mode 100644 banking_sample2.csv
 create mode 100644 dexi.py
 create mode 100644 ejemplo.txt
 create mode 100644 finalized_model.sav
 create mode 100644 kpis.json
 create mode 100644 kpis_amsterdam.dex
 create mode 100644 kpis_area.json
 create mode 100644 kpis_bilbao.dex
 create mode 100644 kpis_helsinki.dex
 create mode 100644 kpis_messina.dex
 create mode 100644 kpis_relative.json
 create mode 100644 kpis_relative_area.json
 create mode 100644 model3.pkcls
 create mode 100644 modelo NN.pkcls
 create mode 100644 modelo.pkcls
 create mode 100644 modelo_LR.pkcls
 create mode 100644 pyvenv.cfg
 create mode 100644 start.sh

diff --git a/URBANITE b/URBANITE
new file mode 100644
index 0000000..d4ea8f7
--- /dev/null
+++ b/URBANITE
@@ -0,0 +1,330 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!-- This network was created in GeNIe Academic, which can be used for academic teaching and research purposes only -->
+<smile version="1.0" id="Network1" numsamples="10000" discsamples="10000">
+	<nodes>
+		<cpt id="T_tour">
+			<state id="One_stop" />
+			<state id="Two_or_three_stops" />
+			<state id="Four_or_five_stops" />
+			<state id="More_that_five_stop" />
+			<probabilities>0.38 0.362 0.182 0.07600000000000001</probabilities>
+		</cpt>
+		<cpt id="Gender">
+			<state id="male" />
+			<state id="female" />
+			<probabilities>0.587 0.413</probabilities>
+		</cpt>
+		<cpt id="Couple">
+			<state id="couple" />
+			<state id="simgle" />
+			<probabilities>0.765 0.235</probabilities>
+		</cpt>
+		<cpt id="Child">
+			<state id="yes" />
+			<state id="no" />
+			<probabilities>0.605 0.395</probabilities>
+		</cpt>
+		<cpt id="T_purpouse">
+			<state id="pick_or_dropoff" />
+			<state id="go_home" />
+			<state id="work_or_school" />
+			<state id="meal_or_shopping" />
+			<state id="personal_business" />
+			<state id="social_recreation" />
+			<state id="others" />
+			<parents>T_tour Gender Couple Child</parents>
+			<probabilities>0.2 0.5 0.1748040752351099 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429468 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282</probabilities>
+		</cpt>
+		<cpt id="Dest_act">
+			<state id="Lucemburg" />
+			<state id="country_residence" />
+			<state id="other" />
+			<parents>T_purpouse</parents>
+			<probabilities>0.48 0.17 0.35 0.48 0.17 0.35 0.48 0.17 0.35 0.48 0.17 0.35 0.48 0.17 0.35 0.48 0.17 0.35 0.48 0.17 0.35</probabilities>
+		</cpt>
+		<cpt id="Parking_">
+			<state id="easy" />
+			<state id="difficult" />
+			<state id="impossible" />
+			<parents>Dest_act</parents>
+			<probabilities>0.8708 0.09959999999999999 0.0296 0.8708 0.09959999999999999 0.0296 0.8708 0.09959999999999999 0.0296</probabilities>
+		</cpt>
+		<cpt id="T_distance">
+			<state id="d0_1km" />
+			<state id="d1_3km" />
+			<state id="d3_11km" />
+			<state id="d11_34km" />
+			<state id="d34_50km" />
+			<state id="d50_70km" />
+			<state id="d70_85km" />
+			<state id="dm85km" />
+			<parents>Dest_act</parents>
+			<probabilities>0.0584 0.0573 0.136 0.253 0.253 0.146 0.0499 0.04639999999999997 0.0584 0.0573 0.136 0.253 0.253 0.146 0.0499 0.04639999999999997 0.0584 0.0573 0.136 0.253 0.253 0.146 0.0499 0.04639999999999997</probabilities>
+		</cpt>
+		<cpt id="T_job">
+			<state id="full_time" />
+			<state id="part_time" />
+			<probabilities>0.8220000000000001 0.178</probabilities>
+		</cpt>
+		<cpt id="D_time">
+			<state id="peak_hour" />
+			<state id="non_peak_hour" />
+			<parents>T_purpouse T_job</parents>
+			<probabilities>0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532</probabilities>
+		</cpt>
+		<cpt id="T_time_car">
+			<state id="tm5min" />
+			<state id="t5_10min" />
+			<state id="t10_20min" />
+			<state id="t20_40min" />
+			<state id="t40_60min" />
+			<state id="t60_80min" />
+			<state id="t80_90min" />
+			<state id="tm90min" />
+			<parents>Dest_act D_time T_distance</parents>
+			<probabilities>0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001</probabilities>
+		</cpt>
+		<cpt id="HH_income">
+			<state id="I2000" />
+			<state id="I2000_I4000" />
+			<state id="I4000_I6000" />
+			<state id="I6000_8000" />
+			<state id="I8000" />
+			<parents>T_job</parents>
+			<probabilities>0.0315 0.371 0.364 0.171 0.06250000000000003 0.0315 0.371 0.364 0.171 0.06250000000000003</probabilities>
+		</cpt>
+		<cpt id="N_car">
+			<state id="no_car" />
+			<state id="one_car" />
+			<state id="two_or_more_cars" />
+			<parents>HH_income</parents>
+			<probabilities>0.006000000000000005 0.228 0.766 0.006000000000000005 0.228 0.766 0.006000000000000005 0.228 0.766 0.006000000000000005 0.228 0.766 0.006000000000000005 0.228 0.766</probabilities>
+		</cpt>
+		<cpt id="D_license">
+			<state id="yes" />
+			<state id="no" />
+			<probabilities>0.994 0.006000000000000005</probabilities>
+		</cpt>
+		<cpt id="Mode_choice">
+			<state id="walk" />
+			<state id="bike_moto" />
+			<state id="car" />
+			<state id="public_trasnport" />
+			<state id="muÃ±timodal" />
+			<parents>T_distance Parking_ Child T_time_car N_car D_license</parents>
+			<probabilities>0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 0.1048999999999999 0.0581 0.0349 0.74 0.0621 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+		</cpt>
+		<cpt id="Price_car">
+			<state id="m1" />
+			<state id="m1_3" />
+			<state id="M3" />
+			<probabilities>0.3 0.3 0.4</probabilities>
+		</cpt>
+		<cpt id="T_time_public_transport">
+			<state id="tm5min" />
+			<state id="t5_10min" />
+			<state id="t10_20min" />
+			<state id="t20_40min" />
+			<state id="t40_60min" />
+			<state id="t60_80min" />
+			<state id="t80_90min" />
+			<state id="tm90min" />
+			<parents>Dest_act D_time T_distance</parents>
+			<probabilities>0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001</probabilities>
+		</cpt>
+		<cpt id="T_time_bike">
+			<state id="tm5min" />
+			<state id="t5_10min" />
+			<state id="t10_20min" />
+			<state id="t20_40min" />
+			<state id="t40_60min" />
+			<state id="t60_80min" />
+			<state id="t80_90min" />
+			<state id="tm90min" />
+			<parents>Dest_act D_time T_distance</parents>
+			<probabilities>0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001</probabilities>
+		</cpt>
+		<cpt id="Price_public_transport">
+			<state id="m1" />
+			<state id="m1_3" />
+			<state id="M3" />
+			<probabilities>0.3 0.3 0.4</probabilities>
+		</cpt>
+		<cpt id="T_time_walking">
+			<state id="tm5min" />
+			<state id="t5_10min" />
+			<state id="t10_20min" />
+			<state id="t20_40min" />
+			<state id="t40_60min" />
+			<state id="t60_80min" />
+			<state id="t80_90min" />
+			<state id="tm90min" />
+			<parents>Dest_act D_time T_distance Price_car Price_public_transport</parents>
+			<probabilities>0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 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+			<node id="T_tour">
+				<name>T_tour</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>207 74 331 136</position>
+				<barchart active="true" width="128" height="90" />
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+			<node id="Gender">
+				<name>Gender</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>552 45 600 75</position>
+				<barchart active="true" width="128" height="64" />
+			</node>
+			<node id="Couple">
+				<name>Couple</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>735 92 783 122</position>
+				<barchart active="true" width="128" height="64" />
+			</node>
+			<node id="T_purpouse">
+				<name>T_purpouse</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>549 247 620 291</position>
+				<barchart active="true" width="128" height="144" />
+			</node>
+			<node id="Child">
+				<name>Child</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>259 227 307 257</position>
+				<barchart active="true" width="128" height="64" />
+			</node>
+			<node id="Dest_act">
+				<name>Dest_act</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>163 357 211 387</position>
+				<barchart active="true" width="128" height="72" />
+			</node>
+			<node id="Parking_">
+				<name>Parking.</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>170 665 227 700</position>
+				<barchart active="true" width="128" height="72" />
+			</node>
+			<node id="T_distance">
+				<name>T_distance</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>325 538 406 568</position>
+				<barchart active="true" width="128" height="162" />
+			</node>
+			<node id="T_job">
+				<name>T_job</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>1000 164 1048 194</position>
+				<barchart active="true" width="128" height="64" />
+			</node>
+			<node id="D_time">
+				<name>D_time</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>827 297 876 327</position>
+				<barchart active="true" width="128" height="64" />
+			</node>
+			<node id="T_time_car">
+				<name>T_time_car</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>596 422 644 452</position>
+				<barchart active="true" width="128" height="162" />
+			</node>
+			<node id="HH_income">
+				<name>HH_income</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>1101 347 1149 377</position>
+				<barchart active="true" width="128" height="108" />
+			</node>
+			<node id="N_car">
+				<name>N-car</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>1033 484 1078 512</position>
+				<barchart active="true" width="128" height="72" />
+			</node>
+			<node id="D_license">
+				<name>D_license</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>1043 611 1104 649</position>
+				<barchart active="true" width="128" height="64" />
+			</node>
+			<node id="Mode_choice">
+				<name>Mode_choice</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>625 660 673 690</position>
+				<barchart active="true" width="128" height="108" />
+			</node>
+			<node id="Price_car">
+				<name>Price_car</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>829 716 890 754</position>
+				<barchart active="true" width="128" height="72" />
+			</node>
+			<node id="T_time_public_transport">
+				<name>T_time_public_transport</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>858 490 906 520</position>
+				<barchart active="true" width="128" height="162" />
+			</node>
+			<node id="T_time_bike">
+				<name>T_time_bike</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>57 516 105 546</position>
+				<barchart active="true" width="128" height="162" />
+			</node>
+			<node id="T_time_walking">
+				<name>T_time_walking</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>407 783 455 813</position>
+				<barchart active="true" width="128" height="162" />
+			</node>
+			<node id="Price_public_transport">
+				<name>Price_public_transport</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>629 816 690 854</position>
+				<barchart active="true" width="128" height="72" />
+			</node>
+		</genie>
+	</extensions>
+</smile>
diff --git a/URBANITE_ModalChoice.xdsl b/URBANITE_ModalChoice.xdsl
new file mode 100644
index 0000000..d4ea8f7
--- /dev/null
+++ b/URBANITE_ModalChoice.xdsl
@@ -0,0 +1,330 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!-- This network was created in GeNIe Academic, which can be used for academic teaching and research purposes only -->
+<smile version="1.0" id="Network1" numsamples="10000" discsamples="10000">
+	<nodes>
+		<cpt id="T_tour">
+			<state id="One_stop" />
+			<state id="Two_or_three_stops" />
+			<state id="Four_or_five_stops" />
+			<state id="More_that_five_stop" />
+			<probabilities>0.38 0.362 0.182 0.07600000000000001</probabilities>
+		</cpt>
+		<cpt id="Gender">
+			<state id="male" />
+			<state id="female" />
+			<probabilities>0.587 0.413</probabilities>
+		</cpt>
+		<cpt id="Couple">
+			<state id="couple" />
+			<state id="simgle" />
+			<probabilities>0.765 0.235</probabilities>
+		</cpt>
+		<cpt id="Child">
+			<state id="yes" />
+			<state id="no" />
+			<probabilities>0.605 0.395</probabilities>
+		</cpt>
+		<cpt id="T_purpouse">
+			<state id="pick_or_dropoff" />
+			<state id="go_home" />
+			<state id="work_or_school" />
+			<state id="meal_or_shopping" />
+			<state id="personal_business" />
+			<state id="social_recreation" />
+			<state id="others" />
+			<parents>T_tour Gender Couple Child</parents>
+			<probabilities>0.2 0.5 0.1748040752351099 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429468 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282 0.1018808777429467 0.3742163009404389 0.3987068965517241 0.06455721003134797 0.01802507836990596 0.03017241379310345 0.01244122257053282</probabilities>
+		</cpt>
+		<cpt id="Dest_act">
+			<state id="Lucemburg" />
+			<state id="country_residence" />
+			<state id="other" />
+			<parents>T_purpouse</parents>
+			<probabilities>0.48 0.17 0.35 0.48 0.17 0.35 0.48 0.17 0.35 0.48 0.17 0.35 0.48 0.17 0.35 0.48 0.17 0.35 0.48 0.17 0.35</probabilities>
+		</cpt>
+		<cpt id="Parking_">
+			<state id="easy" />
+			<state id="difficult" />
+			<state id="impossible" />
+			<parents>Dest_act</parents>
+			<probabilities>0.8708 0.09959999999999999 0.0296 0.8708 0.09959999999999999 0.0296 0.8708 0.09959999999999999 0.0296</probabilities>
+		</cpt>
+		<cpt id="T_distance">
+			<state id="d0_1km" />
+			<state id="d1_3km" />
+			<state id="d3_11km" />
+			<state id="d11_34km" />
+			<state id="d34_50km" />
+			<state id="d50_70km" />
+			<state id="d70_85km" />
+			<state id="dm85km" />
+			<parents>Dest_act</parents>
+			<probabilities>0.0584 0.0573 0.136 0.253 0.253 0.146 0.0499 0.04639999999999997 0.0584 0.0573 0.136 0.253 0.253 0.146 0.0499 0.04639999999999997 0.0584 0.0573 0.136 0.253 0.253 0.146 0.0499 0.04639999999999997</probabilities>
+		</cpt>
+		<cpt id="T_job">
+			<state id="full_time" />
+			<state id="part_time" />
+			<probabilities>0.8220000000000001 0.178</probabilities>
+		</cpt>
+		<cpt id="D_time">
+			<state id="peak_hour" />
+			<state id="non_peak_hour" />
+			<parents>T_purpouse T_job</parents>
+			<probabilities>0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532 0.468 0.532</probabilities>
+		</cpt>
+		<cpt id="T_time_car">
+			<state id="tm5min" />
+			<state id="t5_10min" />
+			<state id="t10_20min" />
+			<state id="t20_40min" />
+			<state id="t40_60min" />
+			<state id="t60_80min" />
+			<state id="t80_90min" />
+			<state id="tm90min" />
+			<parents>Dest_act D_time T_distance</parents>
+			<probabilities>0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001</probabilities>
+		</cpt>
+		<cpt id="HH_income">
+			<state id="I2000" />
+			<state id="I2000_I4000" />
+			<state id="I4000_I6000" />
+			<state id="I6000_8000" />
+			<state id="I8000" />
+			<parents>T_job</parents>
+			<probabilities>0.0315 0.371 0.364 0.171 0.06250000000000003 0.0315 0.371 0.364 0.171 0.06250000000000003</probabilities>
+		</cpt>
+		<cpt id="N_car">
+			<state id="no_car" />
+			<state id="one_car" />
+			<state id="two_or_more_cars" />
+			<parents>HH_income</parents>
+			<probabilities>0.006000000000000005 0.228 0.766 0.006000000000000005 0.228 0.766 0.006000000000000005 0.228 0.766 0.006000000000000005 0.228 0.766 0.006000000000000005 0.228 0.766</probabilities>
+		</cpt>
+		<cpt id="D_license">
+			<state id="yes" />
+			<state id="no" />
+			<probabilities>0.994 0.006000000000000005</probabilities>
+		</cpt>
+		<cpt id="Mode_choice">
+			<state id="walk" />
+			<state id="bike_moto" />
+			<state id="car" />
+			<state id="public_trasnport" />
+			<state id="muÃ±timodal" />
+			<parents>T_distance Parking_ Child T_time_car N_car D_license</parents>
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+		</cpt>
+		<cpt id="Price_car">
+			<state id="m1" />
+			<state id="m1_3" />
+			<state id="M3" />
+			<probabilities>0.3 0.3 0.4</probabilities>
+		</cpt>
+		<cpt id="T_time_public_transport">
+			<state id="tm5min" />
+			<state id="t5_10min" />
+			<state id="t10_20min" />
+			<state id="t20_40min" />
+			<state id="t40_60min" />
+			<state id="t60_80min" />
+			<state id="t80_90min" />
+			<state id="tm90min" />
+			<parents>Dest_act D_time T_distance</parents>
+			<probabilities>0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001</probabilities>
+		</cpt>
+		<cpt id="T_time_bike">
+			<state id="tm5min" />
+			<state id="t5_10min" />
+			<state id="t10_20min" />
+			<state id="t20_40min" />
+			<state id="t40_60min" />
+			<state id="t60_80min" />
+			<state id="t80_90min" />
+			<state id="tm90min" />
+			<parents>Dest_act D_time T_distance</parents>
+			<probabilities>0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001</probabilities>
+		</cpt>
+		<cpt id="Price_public_transport">
+			<state id="m1" />
+			<state id="m1_3" />
+			<state id="M3" />
+			<probabilities>0.3 0.3 0.4</probabilities>
+		</cpt>
+		<cpt id="T_time_walking">
+			<state id="tm5min" />
+			<state id="t5_10min" />
+			<state id="t10_20min" />
+			<state id="t20_40min" />
+			<state id="t40_60min" />
+			<state id="t60_80min" />
+			<state id="t80_90min" />
+			<state id="tm90min" />
+			<parents>Dest_act D_time T_distance Price_car Price_public_transport</parents>
+			<probabilities>0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 0.0851 0.126 0.232 0.262 0.124 0.0429 0.04570000000000001 0.0823 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+		</cpt>
+	</nodes>
+	<extensions>
+		<genie version="1.0" app="GeNIe 4.0.2423.0 ACADEMIC" name="Network1">
+			<node id="T_tour">
+				<name>T_tour</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>207 74 331 136</position>
+				<barchart active="true" width="128" height="90" />
+			</node>
+			<node id="Gender">
+				<name>Gender</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>552 45 600 75</position>
+				<barchart active="true" width="128" height="64" />
+			</node>
+			<node id="Couple">
+				<name>Couple</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>735 92 783 122</position>
+				<barchart active="true" width="128" height="64" />
+			</node>
+			<node id="T_purpouse">
+				<name>T_purpouse</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>549 247 620 291</position>
+				<barchart active="true" width="128" height="144" />
+			</node>
+			<node id="Child">
+				<name>Child</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>259 227 307 257</position>
+				<barchart active="true" width="128" height="64" />
+			</node>
+			<node id="Dest_act">
+				<name>Dest_act</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>163 357 211 387</position>
+				<barchart active="true" width="128" height="72" />
+			</node>
+			<node id="Parking_">
+				<name>Parking.</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>170 665 227 700</position>
+				<barchart active="true" width="128" height="72" />
+			</node>
+			<node id="T_distance">
+				<name>T_distance</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>325 538 406 568</position>
+				<barchart active="true" width="128" height="162" />
+			</node>
+			<node id="T_job">
+				<name>T_job</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>1000 164 1048 194</position>
+				<barchart active="true" width="128" height="64" />
+			</node>
+			<node id="D_time">
+				<name>D_time</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>827 297 876 327</position>
+				<barchart active="true" width="128" height="64" />
+			</node>
+			<node id="T_time_car">
+				<name>T_time_car</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>596 422 644 452</position>
+				<barchart active="true" width="128" height="162" />
+			</node>
+			<node id="HH_income">
+				<name>HH_income</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>1101 347 1149 377</position>
+				<barchart active="true" width="128" height="108" />
+			</node>
+			<node id="N_car">
+				<name>N-car</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>1033 484 1078 512</position>
+				<barchart active="true" width="128" height="72" />
+			</node>
+			<node id="D_license">
+				<name>D_license</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>1043 611 1104 649</position>
+				<barchart active="true" width="128" height="64" />
+			</node>
+			<node id="Mode_choice">
+				<name>Mode_choice</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>625 660 673 690</position>
+				<barchart active="true" width="128" height="108" />
+			</node>
+			<node id="Price_car">
+				<name>Price_car</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>829 716 890 754</position>
+				<barchart active="true" width="128" height="72" />
+			</node>
+			<node id="T_time_public_transport">
+				<name>T_time_public_transport</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>858 490 906 520</position>
+				<barchart active="true" width="128" height="162" />
+			</node>
+			<node id="T_time_bike">
+				<name>T_time_bike</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>57 516 105 546</position>
+				<barchart active="true" width="128" height="162" />
+			</node>
+			<node id="T_time_walking">
+				<name>T_time_walking</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>407 783 455 813</position>
+				<barchart active="true" width="128" height="162" />
+			</node>
+			<node id="Price_public_transport">
+				<name>Price_public_transport</name>
+				<interior color="e5f6f7" />
+				<outline color="000080" />
+				<font color="000000" name="Arial" size="8" />
+				<position>629 816 690 854</position>
+				<barchart active="true" width="128" height="72" />
+			</node>
+		</genie>
+	</extensions>
+</smile>
diff --git a/Urbanite_base_decision_model.dxi b/Urbanite_base_decision_model.dxi
new file mode 100644
index 0000000..b8e0350
--- /dev/null
+++ b/Urbanite_base_decision_model.dxi
@@ -0,0 +1,582 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<DEXi>
+  <VERSION>5.05</VERSION>
+  <CREATED>2022-03-01T09:38:57</CREATED>
+  <SETTINGS/>
+  <ATTRIBUTE>
+    <NAME>Mobility Policy Quality</NAME>
+    <SCALE>
+      <ORDER>DESC</ORDER>
+      <SCALEVALUE>
+        <NAME>Better</NAME>
+        <GROUP>GOOD</GROUP>
+      </SCALEVALUE>
+      <SCALEVALUE>
+        <NAME>Same</NAME>
+      </SCALEVALUE>
+      <SCALEVALUE>
+        <NAME>Worse</NAME>
+        <GROUP>BAD</GROUP>
+      </SCALEVALUE>
+    </SCALE>
+    <FUNCTION>
+      <LOW>001012122</LOW>
+    </FUNCTION>
+    <ATTRIBUTE>
+      <NAME>Local</NAME>
+      <SCALE>
+        <ORDER>DESC</ORDER>
+        <SCALEVALUE>
+          <NAME>Better</NAME>
+          <GROUP>GOOD</GROUP>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Same</NAME>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Worse</NAME>
+          <GROUP>BAD</GROUP>
+        </SCALEVALUE>
+      </SCALE>
+      <FUNCTION>
+        <LOW>001012122</LOW>
+      </FUNCTION>
+      <ATTRIBUTE>
+        <NAME>Local Pollution</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>2221122111211101110011000</LOW>
+          <ENTERED>+-----------+-----------+</ENTERED>
+          <WEIGHTS>50;50</WEIGHTS>
+          <LOCWEIGHTS>0.00;0.00</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>0.00;0.00</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <ATTRIBUTE>
+          <NAME>Local Emissions</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+          <FUNCTION>
+            <LOW>0011101112111221122312233011121112211223122332233311122112231223322333233341122312233223332333433344122332233323334333443344422333233343334433444344442333433344334443444444444</LOW>
+            <ENTERED>+-------------------------------------------------------------------------------------------------------------------------+++--------------------------------------------------</ENTERED>
+            <WEIGHTS>33.3333333333333;33.3333333333333;33.3333333333333</WEIGHTS>
+            <LOCWEIGHTS>0.00;0.00;0.00</LOCWEIGHTS>
+            <NORMLOCWEIGHTS>0.00;0.00;0.00</NORMLOCWEIGHTS>
+          </FUNCTION>
+          <ATTRIBUTE>
+            <NAME>Local NOx</NAME>
+            <SCALE>
+              <SCALEVALUE>
+                <NAME>+15%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+10%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+5%</NAME>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+/- 0%</NAME>
+                <DESCRIPTION>No change</DESCRIPTION>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>- 5%</NAME>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>-10%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>-15%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+            </SCALE>
+          </ATTRIBUTE>
+          <ATTRIBUTE>
+            <NAME>Local PM10</NAME>
+            <SCALE>
+              <SCALEVALUE>
+                <NAME>+15%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+5%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+/- 0%</NAME>
+                <DESCRIPTION>No change</DESCRIPTION>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>- 5%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>-15%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+            </SCALE>
+          </ATTRIBUTE>
+          <ATTRIBUTE>
+            <NAME>Local CO2</NAME>
+            <SCALE>
+              <SCALEVALUE>
+                <NAME>+15%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+5%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+/- 0%</NAME>
+                <DESCRIPTION>No change</DESCRIPTION>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>- 5%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>-15%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+            </SCALE>
+          </ATTRIBUTE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>Local Acoustic pollution</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+      <ATTRIBUTE>
+        <NAME>Local Traffic</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>22221222112211121111111112221122111211111111111110221112111111111111101110021111111111111011100110001111111110111001100010000</LOW>
+          <ENTERED>+-------------------------------------------------------------+-------------------------------------------------------------+</ENTERED>
+          <WEIGHTS>33.3333333333333;33.3333333333333;33.3333333333333</WEIGHTS>
+          <LOCWEIGHTS>0.00;0.00;0.00</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>0.00;0.00;0.00</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <ATTRIBUTE>
+          <NAME>Local Entry capacity to center</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>Local Pedestrian travel time</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>Local Daily internal bike travels</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+    </ATTRIBUTE>
+    <ATTRIBUTE>
+      <NAME>City-wide</NAME>
+      <SCALE>
+        <ORDER>DESC</ORDER>
+        <SCALEVALUE>
+          <NAME>Better</NAME>
+          <GROUP>GOOD</GROUP>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Same</NAME>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Worse</NAME>
+          <GROUP>BAD</GROUP>
+        </SCALEVALUE>
+      </SCALE>
+      <FUNCTION>
+        <LOW>011012122</LOW>
+      </FUNCTION>
+      <ATTRIBUTE>
+        <NAME>City-wide Pollution</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>2221122111211101110011000</LOW>
+          <ENTERED>+-----------+-----------+</ENTERED>
+          <WEIGHTS>50;50</WEIGHTS>
+          <LOCWEIGHTS>0.00;0.00</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>0.00;0.00</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <ATTRIBUTE>
+          <NAME>City-wide Acoustic pollution</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>City-wide Emissions</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+          <FUNCTION>
+            <LOW>00111011121112211223122330111211122112231223322333111221122312233223332333411223122332233323334333441223322333233343334433444</LOW>
+            <ENTERED>+-------------------------------------------------------------------------------------------------------------------------+++</ENTERED>
+            <WEIGHTS>33.3333333333333;33.3333333333333;33.3333333333333</WEIGHTS>
+            <LOCWEIGHTS>0.00;0.00;0.00</LOCWEIGHTS>
+            <NORMLOCWEIGHTS>0.00;0.00;0.00</NORMLOCWEIGHTS>
+          </FUNCTION>
+          <ATTRIBUTE>
+            <NAME>City-wide NOx</NAME>
+            <SCALE>
+              <SCALEVALUE>
+                <NAME>+15%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+5%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+/- 0%</NAME>
+                <DESCRIPTION>No change</DESCRIPTION>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>- 5%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>-15%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+            </SCALE>
+          </ATTRIBUTE>
+          <ATTRIBUTE>
+            <NAME>City-wide PM10</NAME>
+            <SCALE>
+              <SCALEVALUE>
+                <NAME>+15%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+5%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+/- 0%</NAME>
+                <DESCRIPTION>No change</DESCRIPTION>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>- 5%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>-15%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+            </SCALE>
+          </ATTRIBUTE>
+          <ATTRIBUTE>
+            <NAME>City-wide CO2</NAME>
+            <SCALE>
+              <SCALEVALUE>
+                <NAME>+15%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+5%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+/- 0%</NAME>
+                <DESCRIPTION>No change</DESCRIPTION>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>- 5%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>-15%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+            </SCALE>
+          </ATTRIBUTE>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+      <ATTRIBUTE>
+        <NAME>City-wide Traffic</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>22221222112211121111111112221122111211111111111110221112111111111111101110021111111111111011100110001111111110111001100010000</LOW>
+          <ENTERED>+-------------------------------------------------------------+-------------------------------------------------------------+</ENTERED>
+          <WEIGHTS>33.3333333333333;33.3333333333333;33.3333333333333</WEIGHTS>
+          <LOCWEIGHTS>0.00;0.00;0.00</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>0.00;0.00;0.00</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <ATTRIBUTE>
+          <NAME>City-wide Entry capacity to center</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>City-wide Pedestrian travel time</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>City-wide Daily internal bike travels</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+    </ATTRIBUTE>
+  </ATTRIBUTE>
+</DEXi>
diff --git a/banking.csv b/banking.csv
new file mode 100644
index 0000000..cfcf77d
--- /dev/null
+++ b/banking.csv
@@ -0,0 +1,41189 @@
+age,job,marital,education,default,housing,loan,contact,month,day_of_week,duration,campaign,pdays,previous,poutcome,emp_var_rate,cons_price_idx,cons_conf_idx,euribor3m,nr_employed,y
+44,blue-collar,married,basic.4y,unknown,yes,no,cellular,aug,thu,210,1,999,0,nonexistent,1.4,93.444,-36.1,4.963,5228.1,0
+53,technician,married,unknown,no,no,no,cellular,nov,fri,138,1,999,0,nonexistent,-0.1,93.2,-42,4.021,5195.8,0
+28,management,single,university.degree,no,yes,no,cellular,jun,thu,339,3,6,2,success,-1.7,94.055,-39.8,0.729,4991.6,1
+39,services,married,high.school,no,no,no,cellular,apr,fri,185,2,999,0,nonexistent,-1.8,93.075,-47.1,1.405,5099.1,0
+55,retired,married,basic.4y,no,yes,no,cellular,aug,fri,137,1,3,1,success,-2.9,92.201,-31.4,0.869,5076.2,1
+30,management,divorced,basic.4y,no,yes,no,cellular,jul,tue,68,8,999,0,nonexistent,1.4,93.918,-42.7,4.961,5228.1,0
+37,blue-collar,married,basic.4y,no,yes,no,cellular,may,thu,204,1,999,0,nonexistent,-1.8,92.893,-46.2,1.327,5099.1,0
+39,blue-collar,divorced,basic.9y,no,yes,no,cellular,may,fri,191,1,999,0,nonexistent,-1.8,92.893,-46.2,1.313,5099.1,0
+36,admin.,married,university.degree,no,no,no,cellular,jun,mon,174,1,3,1,success,-2.9,92.963,-40.8,1.266,5076.2,1
+27,blue-collar,single,basic.4y,no,yes,no,cellular,apr,thu,191,2,999,1,failure,-1.8,93.075,-47.1,1.41,5099.1,0
+34,housemaid,single,university.degree,no,no,no,telephone,may,fri,62,2,999,0,nonexistent,1.1,93.994,-36.4,4.864,5191,0
+41,management,married,university.degree,no,yes,no,cellular,aug,thu,789,1,999,0,nonexistent,1.4,93.444,-36.1,4.964,5228.1,0
+55,management,married,university.degree,no,no,no,cellular,aug,mon,372,3,999,0,nonexistent,1.4,93.444,-36.1,4.965,5228.1,1
+33,services,divorced,high.school,no,yes,no,cellular,may,tue,75,5,999,0,nonexistent,-1.8,92.893,-46.2,1.291,5099.1,0
+26,admin.,married,high.school,no,no,yes,telephone,jun,mon,1021,1,999,0,nonexistent,1.4,94.465,-41.8,4.96,5228.1,0
+52,services,married,high.school,unknown,yes,no,cellular,jul,thu,117,2,999,0,nonexistent,1.4,93.918,-42.7,4.962,5228.1,0
+35,services,married,high.school,no,no,no,cellular,apr,thu,1034,2,999,0,nonexistent,-1.8,93.075,-47.1,1.365,5099.1,1
+27,admin.,single,university.degree,no,no,no,telephone,oct,tue,540,1,999,0,nonexistent,-0.1,93.798,-40.4,4.86,5195.8,1
+28,blue-collar,married,basic.9y,unknown,no,no,telephone,may,thu,140,1,999,0,nonexistent,1.1,93.994,-36.4,4.86,5191,0
+26,unemployed,single,basic.9y,no,yes,yes,cellular,jul,mon,104,4,999,0,nonexistent,1.4,93.918,-42.7,4.96,5228.1,0
+41,unemployed,married,basic.9y,unknown,yes,no,telephone,apr,fri,246,1,999,1,failure,-1.8,93.075,-47.1,1.405,5099.1,0
+35,blue-collar,single,unknown,no,no,yes,telephone,jun,fri,1114,1,999,0,nonexistent,1.4,94.465,-41.8,4.967,5228.1,0
+40,admin.,married,university.degree,unknown,yes,no,telephone,jul,wed,340,1,999,0,nonexistent,1.4,93.918,-42.7,4.963,5228.1,0
+32,technician,single,professional.course,no,no,no,cellular,jul,thu,35,1,999,0,nonexistent,1.4,93.918,-42.7,4.968,5228.1,0
+41,blue-collar,married,high.school,no,yes,yes,cellular,jul,thu,241,3,999,0,nonexistent,1.4,93.918,-42.7,4.962,5228.1,0
+34,entrepreneur,single,university.degree,no,yes,no,cellular,may,tue,168,2,999,0,nonexistent,-1.8,92.893,-46.2,1.344,5099.1,0
+49,technician,divorced,unknown,no,yes,yes,cellular,oct,thu,81,1,999,0,nonexistent,-3.4,92.431,-26.9,0.754,5017.5,0
+37,admin.,married,high.school,no,yes,no,cellular,apr,thu,226,1,2,1,success,-1.8,93.075,-47.1,1.365,5099.1,0
+35,blue-collar,married,basic.6y,unknown,yes,no,cellular,may,fri,746,2,999,0,nonexistent,-1.8,92.893,-46.2,1.313,5099.1,0
+38,blue-collar,single,basic.4y,unknown,no,no,telephone,jul,tue,41,5,999,0,nonexistent,1.4,93.918,-42.7,4.961,5228.1,0
+47,services,divorced,high.school,no,no,no,telephone,jun,tue,115,1,999,0,nonexistent,1.4,94.465,-41.8,4.961,5228.1,0
+46,admin.,married,university.degree,no,no,no,cellular,may,thu,227,2,999,0,nonexistent,-1.8,92.893,-46.2,1.327,5099.1,0
+27,technician,married,professional.course,no,yes,no,cellular,may,mon,275,1,999,0,nonexistent,-1.8,92.893,-46.2,1.299,5099.1,0
+29,technician,married,high.school,no,yes,no,cellular,jun,fri,365,3,999,0,nonexistent,-2.9,92.963,-40.8,1.268,5076.2,1
+32,services,divorced,basic.9y,unknown,no,no,cellular,jul,wed,68,2,999,0,nonexistent,1.4,93.918,-42.7,4.963,5228.1,0
+36,blue-collar,married,basic.6y,unknown,no,no,cellular,may,wed,54,1,999,2,failure,-1.8,92.893,-46.2,1.334,5099.1,0
+29,blue-collar,married,basic.4y,no,yes,yes,cellular,jul,mon,93,1,999,0,nonexistent,1.4,93.918,-42.7,4.96,5228.1,0
+47,technician,married,high.school,unknown,no,no,cellular,apr,mon,267,2,999,1,failure,-1.8,93.075,-47.1,1.405,5099.1,0
+44,blue-collar,married,basic.4y,no,yes,no,telephone,jun,mon,17,25,999,0,nonexistent,1.4,94.465,-41.8,4.96,5228.1,0
+54,management,married,university.degree,no,yes,yes,cellular,aug,thu,121,11,999,0,nonexistent,1.4,93.444,-36.1,4.962,5228.1,0
+36,blue-collar,married,basic.9y,no,no,no,telephone,may,thu,294,2,999,0,nonexistent,1.1,93.994,-36.4,4.86,5191,0
+42,blue-collar,married,basic.4y,no,yes,no,telephone,may,wed,24,1,999,0,nonexistent,1.1,93.994,-36.4,4.857,5191,0
+44,blue-collar,married,basic.4y,no,no,no,cellular,jul,tue,345,5,999,0,nonexistent,1.4,93.918,-42.7,4.961,5228.1,0
+72,retired,divorced,basic.6y,no,yes,no,cellular,nov,wed,244,2,999,0,nonexistent,-3.4,92.649,-30.1,0.715,5017.5,1
+48,blue-collar,married,basic.9y,unknown,no,no,cellular,aug,tue,213,3,999,0,nonexistent,1.4,93.444,-36.1,4.966,5228.1,0
+36,management,married,high.school,unknown,yes,no,cellular,nov,thu,371,1,999,0,nonexistent,-0.1,93.2,-42,4.076,5195.8,0
+35,housemaid,married,basic.4y,no,yes,no,cellular,aug,mon,87,1,999,0,nonexistent,1.4,93.444,-36.1,4.965,5228.1,0
+43,entrepreneur,married,basic.6y,no,yes,no,cellular,may,mon,195,3,999,1,failure,-1.8,92.893,-46.2,1.354,5099.1,0
+56,retired,married,basic.4y,unknown,yes,no,cellular,aug,wed,102,1,999,0,nonexistent,1.4,93.444,-36.1,4.967,5228.1,0
+42,blue-collar,married,basic.9y,unknown,yes,no,telephone,jun,fri,93,2,999,0,nonexistent,1.4,94.465,-41.8,4.959,5228.1,0
+31,admin.,single,university.degree,no,yes,no,cellular,may,mon,244,1,999,0,nonexistent,-1.8,92.893,-46.2,1.354,5099.1,0
+32,technician,married,basic.9y,unknown,no,no,telephone,jun,thu,52,5,999,0,nonexistent,1.4,94.465,-41.8,4.958,5228.1,0
+33,blue-collar,married,high.school,unknown,yes,yes,cellular,may,mon,164,2,999,1,failure,-1.8,92.893,-46.2,1.354,5099.1,0
+31,blue-collar,married,basic.6y,unknown,no,no,telephone,jun,wed,91,4,999,0,nonexistent,1.4,94.465,-41.8,4.864,5228.1,0
+39,management,married,university.degree,no,yes,no,telephone,may,wed,68,1,999,0,nonexistent,1.1,93.994,-36.4,4.859,5191,0
+30,blue-collar,married,high.school,no,no,no,telephone,may,mon,122,4,999,0,nonexistent,1.1,93.994,-36.4,4.857,5191,0
+24,management,single,university.degree,no,yes,no,cellular,may,thu,45,4,999,1,failure,-1.8,92.893,-46.2,1.27,5099.1,0
+24,admin.,married,high.school,no,no,yes,telephone,may,mon,61,1,999,0,nonexistent,1.1,93.994,-36.4,4.857,5191,0
+38,blue-collar,married,professional.course,no,yes,no,telephone,may,wed,162,4,999,0,nonexistent,1.1,93.994,-36.4,4.859,5191,0
+26,blue-collar,married,high.school,no,yes,no,telephone,jun,wed,126,12,999,0,nonexistent,1.4,94.465,-41.8,4.959,5228.1,0
+41,technician,married,professional.course,no,no,no,telephone,may,tue,92,1,999,0,nonexistent,1.1,93.994,-36.4,4.856,5191,0
+34,admin.,married,high.school,no,yes,yes,cellular,apr,fri,329,1,999,0,nonexistent,-1.8,93.075,-47.1,1.405,5099.1,0
+30,management,married,university.degree,no,no,no,cellular,mar,mon,116,1,999,0,nonexistent,-1.8,92.843,-50,1.811,5099.1,1
+37,admin.,married,university.degree,no,yes,no,cellular,nov,fri,450,1,999,0,nonexistent,-0.1,93.2,-42,4.021,5195.8,0
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+39,self-employed,married,high.school,no,yes,no,telephone,may,fri,291,1,999,0,nonexistent,1.1,93.994,-36.4,4.859,5191,0
+49,entrepreneur,married,university.degree,no,no,no,cellular,may,wed,140,2,999,0,nonexistent,-1.8,92.893,-46.2,1.281,5099.1,0
+46,blue-collar,married,basic.4y,unknown,yes,no,cellular,aug,tue,58,3,999,0,nonexistent,1.4,93.444,-36.1,4.966,5228.1,0
+30,blue-collar,single,basic.9y,no,yes,no,cellular,may,fri,74,2,999,0,nonexistent,-1.8,92.893,-46.2,1.25,5099.1,0
+52,self-employed,single,university.degree,unknown,yes,no,telephone,jun,fri,73,1,999,0,nonexistent,1.4,94.465,-41.8,4.967,5228.1,0
+35,technician,married,high.school,no,no,no,telephone,aug,fri,243,1,999,0,nonexistent,1.4,93.444,-36.1,4.966,5228.1,1
+29,technician,single,basic.9y,no,yes,no,cellular,may,mon,214,1,999,0,nonexistent,-1.8,92.893,-46.2,1.299,5099.1,0
+44,services,married,high.school,unknown,yes,yes,cellular,aug,fri,34,1,999,0,nonexistent,1.4,93.444,-36.1,4.966,5228.1,0
+39,admin.,married,university.degree,no,no,no,cellular,nov,tue,123,2,999,0,nonexistent,-0.1,93.2,-42,4.153,5195.8,0
+24,admin.,married,high.school,no,yes,no,cellular,may,thu,118,4,999,1,failure,-1.8,92.893,-46.2,1.266,5099.1,0
+59,retired,married,high.school,unknown,no,yes,telephone,jun,thu,222,1,999,0,nonexistent,1.4,94.465,-41.8,4.866,5228.1,0
+31,housemaid,married,basic.4y,unknown,no,no,telephone,may,thu,196,2,999,0,nonexistent,1.1,93.994,-36.4,4.86,5191,0
+42,admin.,single,university.degree,unknown,yes,yes,telephone,may,wed,62,3,999,0,nonexistent,1.1,93.994,-36.4,4.857,5191,0
+48,technician,married,professional.course,no,no,yes,telephone,oct,tue,200,2,999,0,nonexistent,-3.4,92.431,-26.9,0.742,5017.5,0
+25,student,single,high.school,no,no,no,telephone,may,fri,112,4,999,0,nonexistent,1.1,93.994,-36.4,4.859,5191,0
diff --git a/banking_sample2.csv b/banking_sample2.csv
new file mode 100644
index 0000000..84c0393
--- /dev/null
+++ b/banking_sample2.csv
@@ -0,0 +1,2 @@
+age,job,marital,education,default,housing,loan,contact,month,day_of_week,duration,campaign,pdays,previous,poutcome,emp_var_rate,cons_price_idx,cons_conf_idx,euribor3m,nr_employed,y
+44,blue-collar,married,basic.4y,unknown,no,no,cellular,aug,thu,210,1,666,0,nonexistent,1.4,93.5,-36.1,6.963,5228.1,0
diff --git a/dexi.py b/dexi.py
new file mode 100644
index 0000000..99b6240
--- /dev/null
+++ b/dexi.py
@@ -0,0 +1,814 @@
+"""
+Implements the API for dexi evaluation of KPIs.
+"""
+import json
+import platform
+import subprocess
+import csv
+import os
+import logging
+import random
+import pandas as pd
+import types
+from typing import List, Dict
+from jsonschema import validate
+from flask import Blueprint, request
+from flask import current_app as app
+from pony.orm import db_session
+from deepdiff import DeepDiff
+from copy import deepcopy
+
+from app import utils
+from app.entities import Simulation
+
+dss = Blueprint("dss", __name__)
+
+ts_url = app.dotenv["TS_URL"]
+city_id = f"{app.dotenv['URBANITE_CITY']}"
+data_dir = f"{app.dotenv['DATA_DIR']}/{city_id}"
+dexi_dir = app.dotenv["DEXI_DIR"]
+assets_dir = app.dotenv["ASSETS_DIR"]
+general_dexi_output_dir = f"{data_dir}/temp/results.csv"
+
+
+logger = logging.getLogger(__name__)
+
+
+@app.route("/dss/kpi_eval/<string:city_id>", methods=["POST"])
+def dexi_eval_json(city_id=None):
+    """
+    Dexi evaluation of stored kpi files.
+    """
+    if city_id is None:
+        return {"message": "Error on frontend - city_id not specified"}
+
+    baseline_id = request.get_json()["baseline"]
+    compare_id = request.get_json()["compare"]
+    compare_simulation_name = get_compare_simulation_name(compare_id)
+    baseline_json, compare_json, _ = preprocess_kpi_jsons(baseline_id, compare_id)
+
+    # running dexi here normally
+    dexi_output, simulation_dirs = prepare_and_run_dexi(compare_json, city_id, compare_simulation_name,
+                                                        baseline_id, compare_id, "temp")
+    write_results(dexi_output, baseline_id, simulation_dirs[0])
+
+    return {"success": True}
+
+
+@app.route("/dss/recommendation_analysis/<string:city_id>", methods=["POST"])
+def recommendation_analysis(city_id=None):
+    if city_id is None:
+        return {"message": "Error on frontend - city_id not specified"}
+
+    baseline_id = request.get_json()["baseline"]
+    compare_id = request.get_json()["compare"]
+    step_sizes_for_analysis = [1, 2]
+
+    for step_size in step_sizes_for_analysis:
+
+        folder_name, analysis_limit = get_analysis_parameters(step_size)
+        compare_simulation_name = get_compare_simulation_name(compare_id)
+        baseline_json, compare_json, _ = preprocess_kpi_jsons(baseline_id, compare_id)
+        compare_json_copy = deepcopy(compare_json)
+        for plus_one_json, changed_element in plus_one_kpi_change_generator(compare_json_copy, step_size, analysis_limit):
+
+            if len(DeepDiff(plus_one_json, compare_json)) != 0:
+                logger.error(f'changed element is: {changed_element}, diff {DeepDiff(compare_json, plus_one_json)} and thats what we will compare\n passed down changed JSON IS: {plus_one_json}')
+                dexi_output, simulation_dirs = prepare_and_run_dexi(plus_one_json, city_id, compare_simulation_name,
+                                                                    baseline_id, compare_id, folder_name)
+
+                write_results(dexi_output, baseline_id, simulation_dirs[0])
+                # Remark: first we need to run the normal dexi pipeline, so we can create the temp folder. Then later we need to call the recommendation analysis function
+                compare_dexi_results(f'{data_dir}/temp/', f'{data_dir}/{folder_name}/', changed_element, folder_name, step_size)
+
+    return {"success": True}
+
+@app.route("/dss/general_recommendation", methods=["GET"])
+def general_recommendation():
+    with open(general_dexi_output_dir, 'r', encoding='utf-8')as f:
+        lines = f.readlines()
+    index = lines[1].split(',')[1].replace('"', '').replace("'", "").strip()
+    index = int(index)
+    return {"general_recommendation": create_general_recommendation_text(index)}
+
+
+def create_general_recommendation_text(index):
+    if index == 1:
+        return f'According to the decision making system (DEXi), the simulation scenario is better than the baseline one.'
+    if index == 3:
+        return f'According to the decision making system (DEXi), the simulation scenario is worse than the baseline one.'
+    return f'According to the decision making system (DEXi), the simulation scenario shows no significant improvements over the baseline one and is considered equal.'
+
+
+def get_analysis_parameters(step_size):
+    if step_size == 1:
+        folder_name = "temp_recc_eng_plus_one"
+        analysis_limit = 5
+    if step_size == 2:
+        folder_name = "temp_recc_eng_plus_two"
+        analysis_limit = 4
+    return folder_name, analysis_limit
+
+
+def compare_dexi_results(original_results_path, recommender_engine_results_path, changed_element, folder_name, step_size):
+    original_df = pd.read_csv(original_results_path + 'results.csv')
+    recc_eng_df = pd.read_csv(recommender_engine_results_path + 'results.csv')
+
+    diff_from_original_df = original_df.merge(recc_eng_df, how='outer', indicator=True).query(
+        '_merge=="left_only"').drop('_merge', axis=1)
+    if diff_from_original_df.empty:
+        logger.debug("EMPTY")
+        return  # if this is empty, neither will the other df have elements
+    logger.debug("FOUND SOMETHING")
+    diff_from_recc_eng_df = original_df.merge(recc_eng_df, how='outer', indicator=True).query(
+        '_merge=="right_only"').drop('_merge', axis=1)
+
+    diff_from_original_df.set_index(diff_from_original_df.columns[0], inplace=True)
+    diff_from_recc_eng_df.set_index(diff_from_recc_eng_df.columns[0], inplace=True)
+
+    difference_df = diff_from_recc_eng_df.subtract(diff_from_original_df)
+    # we search for only these top level KPIs because there will be results where the system will just repeat itself,
+    # ex: "in order to decrease CO2 levels by 10%, then you should decrease CO2 levels by 10%". we are only
+    # interested if the parent of the KPI will be changed, for example if by changing CO2 levels do we change the
+    # overall pollution in the city
+    top_level_KPIs = ['Mobility Policy Quality', 'Local', 'Local public transport', 'Local trips share',
+                      'Local Pollution', 'Local Emissions', 'Local Traffic', 'Local bike infrastructure',
+                      'City-wide', 'City-wide Pollution', 'City-wide public transport', 'City-wide Traffic',
+                      'City-wide Emissions', 'City-wide trips share', 'City-wide bike infrastructure']
+
+    for top_level_kpi in top_level_KPIs:
+        if top_level_kpi.lower() in map(str.lower, difference_df.index):
+            difference_df.to_csv(recommender_engine_results_path + 'influenced_kpis.txt')
+            with open(recommender_engine_results_path + 'influenced_kpis.txt', 'a', encoding='utf-8')as f:
+                f.write('Caused by,' + changed_element)
+            break
+    else:
+        return
+    read_results_form_recc_eng_and_write_recc(recommender_engine_results_path + 'influenced_kpis.txt', changed_element, folder_name, step_size)
+    logger.error(difference_df)
+
+
+def read_results_form_recc_eng_and_write_recc(results_path, caused_by_element, folder_name, step_size):
+    with open(results_path, 'r', encoding='utf-8') as f:
+        results = f.readlines()
+    scenario_name = results[0].split(',')[1]
+    result = ''
+    for line in results[1:-1]:
+        elements = line.split(',')
+        kpi = elements[0]
+        amount_changed = elements[1]
+        result += create_recommendation_text(kpi, amount_changed, caused_by_element, step_size)
+    with open(f"{data_dir}/{folder_name}/recommendation.txt", 'w', encoding='utf-8') as f:
+        f.write(result)
+
+
+def create_recommendation_text(kpi, amount_changed, caused_by, step_size):
+    if caused_by.replace(' ', '').lower() in kpi.replace(' ', '').lower():
+        return ""
+    if 'co2' in caused_by.replace(' ', '').lower() and 'co2' in kpi.replace(' ', '').lower():
+        return ""
+    return f'In order to improve the KPI of {kpi} by {int(amount_changed)*10}%, {caused_by} should be improved by {step_size*10}%\n'
+
+
+@app.route("/dss/get_specific_recommendation/", methods=["GET"])
+def get_recommendation():
+    recommendation_for_plus_one_analysis = ""
+    recommendation_for_plus_two_analysis = ""
+
+    folder_name, _ = get_analysis_parameters(1)
+    if os.path.exists(f"{data_dir}/{folder_name}/recommendation.txt"):
+        with open(f"{data_dir}/{folder_name}/recommendation.txt", 'r', encoding='utf-8')as f:
+            recommendation_for_plus_one_analysis += f.read()
+
+    folder_name, _ = get_analysis_parameters(2)
+    if os.path.exists(f"{data_dir}/{folder_name}/recommendation.txt"):
+        with open(f"{data_dir}/{folder_name}/recommendation.txt", 'r', encoding='utf-8') as f:
+            recommendation_for_plus_two_analysis += f.read()
+
+    if recommendation_for_plus_one_analysis == "":
+        recommendation_for_plus_one_analysis = "No recommendation could be made using the +/- 1 analysis of the decision making system (DEXi)"
+    if recommendation_for_plus_two_analysis == "":
+        recommendation_for_plus_two_analysis = "No recommendation could be made using the +/- 2 analysis of the decision making system (DEXi)"
+    return {"specific_recommendation_plusminus_one": recommendation_for_plus_one_analysis, "specific_recommendation_plusminus_two": recommendation_for_plus_two_analysis}
+
+
+def prepare_and_run_dexi(compare_json, city_id, compare_simulation_name, baseline_id, compare_id, temp_name):
+    json_inputs = [compare_json]
+
+    # decision model path
+    dexi_model_path = f"{assets_dir}/Urbanite_{city_id}_decision_model.dxi"
+
+    # create temporary folder
+    temp_path = f"{data_dir}/{temp_name}"
+    if not os.path.exists(temp_path):
+        os.mkdir(temp_path)
+    dexi_input_path = f"{temp_path}/inputs.tab"
+    dexi_output_path = f"{temp_path}/results.csv"
+    if not os.path.exists(os.path.dirname(dexi_output_path)):
+        os.mkdir(os.path.dirname(dexi_output_path))
+
+    # prepare inputs, directory names
+    dexi_input = create_dexi_input(city_id, json_inputs, compare_simulation_name)
+    logger.debug("DEXI INPUT:\n%s", dexi_input)
+
+    simulation_dirs = utils.get_sim_dir_names([baseline_id, compare_id])
+    logger.debug("SIMULATION DIRS:\n%s", simulation_dirs)
+
+    write_to_temporary_dir(dexi_input, dexi_input_path)
+    debug_log_temporary_files(dexi_input_path)
+
+    call_dexi(dexi_model_path, dexi_input_path, dexi_output_path)
+    dexi_output = read_dexi_output(dexi_output_path, compare_simulation_name)
+    logger.debug("DEXI_OUTPUT:\n%s", dexi_output)
+    return dexi_output, simulation_dirs
+
+
+def get_compare_simulation_name(c_id):
+    simulation_names = []
+    with db_session():
+        simulation_names.append(
+            Simulation.select(lambda sim: sim.id == c_id).get().name
+        )
+    return simulation_names
+
+
+def preprocess_kpi_jsons(baseline_id, compare_id):
+    """
+    Read the kpi data, calculate relative to baseline, discretize for dexi.
+    """
+    baseline_json = read_kpi_jsons([baseline_id])[0]
+    compare_json = read_kpi_jsons([compare_id])[0]
+
+    simulation_ids = get_simulation_ids([baseline_json, compare_json])
+
+    baseline_json, compare_json = calculate_relative_kpi(baseline_json, compare_json)
+    baseline_json, compare_json = discretize_relative_kpi(baseline_json, compare_json)
+
+    return baseline_json, compare_json, simulation_ids
+
+
+def read_kpi_jsons(sim_ids):
+    """
+    Returns json object of kpi files for all simulations provided by ids.
+    """
+    logger.debug("read_kpi_jsons: %s", sim_ids)
+    datetime_dirs = utils.get_sim_dir_names(sim_ids)
+    kpis_data = []
+    for sim_id, datetime_dir in zip(sim_ids, datetime_dirs):
+        sim_path = f"{data_dir}/simulations/{sim_id}/results/{datetime_dir}/kpis.json"
+        logger.warning("Reading file at: %s", sim_path)
+        with open(sim_path, "r", encoding="utf-8") as fd:
+            kpis_data.append(json.loads(fd.read()))
+
+    # validate json against schema
+    schema_path = f"{assets_dir}/schemas/kpis_{city_id}.schema.json"
+    with open(schema_path, "r", encoding="utf-8") as fd:
+        schema = json.load(fd)
+    for kpis_datum in kpis_data:
+        validate(kpis_datum, schema)
+
+    return kpis_data
+
+
+def calculate_relative_kpi(baseline_json: Dict, compare_json: Dict):
+    """
+    Converts baseline data values to 1 and compare data values to % of baseline values.
+    """
+    baseline_result = baseline_json.copy()
+    compare_result = compare_json.copy()
+    for b_k, b_v in baseline_json.items():
+        if isinstance(b_v, dict):
+            baseline_result[b_k], compare_result[b_k] = calculate_relative_kpi(
+                b_v, compare_json[b_k]
+            )
+        else:
+            try:
+                compare_result[b_k] = (
+                    0.0
+                    if compare_json[b_k] == 0.0
+                    else float(b_v) / float(compare_json[b_k])
+                )
+            except RuntimeError as e:
+                app.logger.error("Error occured during relativizing KPIs.\n%s", e)
+                return
+            baseline_result[b_k] = 1
+    return baseline_result, compare_result
+
+
+def is_kpi_good(kpi_name):
+    list_of_kpis = ['bikesafety', 'bikeability', 'averagespeedofpublictransport', 'numberofbiketrips', 'publictransportuse']
+    if kpi_name.lower() in list_of_kpis:
+        return True
+    else:
+        return False
+
+def plus_one_kpi_change_generator(json_file: Dict, step_size, analysis_limit):
+    for k, v in json_file.items():
+        was_it_increased_flag = False
+        if k == 'simulation_id':
+            continue
+        if isinstance(v, dict):
+            json_file[k] = plus_one_kpi_change_generator(v, step_size, analysis_limit)
+            for i in json_file[k]:
+                json_file[k] = i[0]
+                yield json_file, i[1]
+        if is_kpi_good(k):
+            if step_size == 2:
+                lower_analysis_limit = 2
+            elif step_size == 1:
+                lower_analysis_limit = 1
+            if isinstance(json_file[k], int) and json_file[k] > lower_analysis_limit:
+                json_file[k] -= step_size
+                was_it_increased_flag = True
+            yield json_file, k
+            if isinstance(json_file[k], int) and was_it_increased_flag:
+                json_file[k] += step_size
+        else:
+            if isinstance(json_file[k], int) and json_file[k] < analysis_limit:
+                json_file[k] += step_size
+                was_it_increased_flag = True
+            yield json_file, k
+            if isinstance(json_file[k], int) and was_it_increased_flag:
+                json_file[k] -= step_size
+
+
+def discretize_relative_kpi(baseline_json: Dict, compare_json: Dict):
+    """
+    Converts baseline and compare data values to discrete: -15% - 0, <-5% - 1, <5% - 2, <15% - 3, >15% - 4.
+    """
+    baseline_result = baseline_json.copy()
+    compare_result = compare_json.copy()
+    for b_k, b_v in baseline_json.items():
+        if isinstance(b_v, dict):
+            baseline_result[b_k], compare_result[b_k] = discretize_relative_kpi(
+                b_v, compare_json[b_k]
+            )
+        else:
+            baseline_result[b_k] = 3  # baseline values are always `no change`
+            # according to decision models
+            # for future use - meaning explained: 0.85 value means that the compare_json kpi is BIGGER by 15% than the baseline.
+            # and vice verse: 1.05 means that the compare_json KPI is by 5% smaller than the baseline.
+            # TODO: IMPORANT FOR DEXI MODELS: keep in mind that this is how we calculate the input to dexi, if the compare_json has a SMALLER KPI value
+            # than baseline, then the passed input index to dexi will be higer. Take this into consideration when designing if the attribute scale
+            # in the dexi model is increasing or decreasing, depending on semantics.
+            # pomala brojka na relative KPI, pogolem index
+            # smaller numbers give higher dexi input index. So pollution attribute scale should be decreasing, from 1.+15%, 2.5%, 3.0%, 4.-5%, 5.-15%.
+            # other example, public transport use should have increasing scale: index(1).-15%... to index(5).+15%
+
+            if compare_json[b_k] < 0.85:
+                compare_result[b_k] = 1  # This can't be zero, because Dexi doens't accept 0 index
+            elif compare_json[b_k] < 0.95:
+                compare_result[b_k] = 2
+            elif compare_json[b_k] < 1.05:
+                compare_result[b_k] = 3
+            elif compare_json[b_k] < 1.15:
+                compare_result[b_k] = 4
+            else:
+                compare_result[b_k] = 5
+    return baseline_result, compare_result
+
+
+def create_temp_folder():
+    """
+    Creates the temporary folder for dexi inputs.
+    """
+    temp_path = f"{data_dir}/temp"
+    if not os.path.exists(temp_path):
+        os.mkdir(temp_path)
+    return temp_path
+
+
+def get_simulation_ids(json_inputs: List[Dict]) -> List[str]:
+    """
+    Returns a list of simulation ids.
+    """
+    simulation_ids = [json_i["simulation_id"] for json_i in json_inputs]
+    app.logger.debug(f"simulation ids: {simulation_ids}")
+    return simulation_ids
+
+
+def write_to_temporary_dir(dexi_input, dexi_input_path) -> None:
+    """
+    Write dexi input files to temporary directory.
+    """
+    with open(dexi_input_path, "w", encoding="utf-8") as fd:
+        fd.write(
+            "\n".join(["\t".join([str(o) for o in _out]) for _out in dexi_input] + [""])
+        )
+
+
+def debug_log_temporary_files(dexi_input_path: str) -> None:
+    """
+    Debug only - logs the written temporary files.
+    """
+    with open(dexi_input_path, "r", encoding="utf-8") as fd:
+        lines = fd.readlines()
+        app.logger.debug("*** DEXI_INPUT_FILE ***")
+        for line in lines:
+            app.logger.debug(line.strip())
+        app.logger.debug("[__ DEXI_INPUT_FILE __]")
+
+
+def create_dexi_input(_city_id: str, json_inputs: List, compare_sim_name: List):
+    """
+    Creates dexi input.
+    """
+    app.logger.debug(json_inputs)
+    output = None
+    logger.error("compare_sim_name in create_dexi_input:\n%s", compare_sim_name)
+    if _city_id == "bilbao":
+        output = create_dexi_input_bilbao(json_inputs, compare_sim_name)
+    elif _city_id == "messina":
+        output = create_dexi_input_messina(json_inputs, compare_sim_name)
+    elif _city_id == "amsterdam":
+        output = create_dexi_input_amsterdam(json_inputs, compare_sim_name)
+    elif _city_id == "helsinki":
+        output = create_dexi_input_helsinki(json_inputs, compare_sim_name)
+    else:
+        app.logger.error(f"Illegal city_id provided: {_city_id}")
+    return output
+
+
+def create_dexi_input_amsterdam(json_inputs, compare_sim_name):
+    """
+    Returns the dexi inputs list for Amsterdam.
+    """
+    # 3 is default - no-change from baseline
+    return [
+        [""] + compare_sim_name,
+        ["Local bike intensity"]
+        + [
+            json_inputs[i]["amsterdam"]["local"]
+            .get("traffic", {})
+            .get("bikeIntensity", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local bike congestion"]
+        + [
+            json_inputs[i]["amsterdam"]["local"]
+            .get("traffic", {})
+            .get("bikeCongestion", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local bike safety"]
+        + [
+            json_inputs[i]["amsterdam"]["local"]
+            .get("bikeInfrastructure", {})
+            .get("bikeSafety", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local bikeability"]
+        + [
+            json_inputs[i]["amsterdam"]["local"]
+            .get("bikeInfrastructure", {})
+            .get("bikeability", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide bike intensity"]
+        + [
+            json_inputs[i]["amsterdam"]["cityWide"]
+            .get("traffic", {})
+            .get("bikeIntensity", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide bike congestion"]
+        + [
+            json_inputs[i]["amsterdam"]["cityWide"]
+            .get("traffic", {})
+            .get("bikeCongestion", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide bike safety"]
+        + [
+            json_inputs[i]["amsterdam"]["cityWide"]
+            .get("bikeInfrastructure", {})
+            .get("bikeSafety", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide bikeability"]
+        + [
+            json_inputs[i]["amsterdam"]["cityWide"]
+            .get("bikeInfrastructure", {})
+            .get("bikeability", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+    ]
+
+
+def create_dexi_input_bilbao(json_inputs, compare_sim_name):
+    """
+    Returns the dexi inputs list for Bilbao.
+    """
+    dexi_input = [
+        [""] + compare_sim_name,
+        ["Local NOx"]
+        + [
+            json_inputs[i]["bilbao"]
+            .get("local", {})
+            .get("pollution", {})
+            .get("NOx", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local PM10"]
+        + [
+            json_inputs[i]["bilbao"]
+            .get("local", {})
+            .get("pollution", {})
+            .get("PM")
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local CO2"]
+        + [
+            json_inputs[i]["bilbao"]
+            .get("local", {})
+            .get("pollution", {})
+            .get("CO2_TOTAL", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local Acoustic pollution"]
+        + [
+            json_inputs[i]["bilbao"]
+            .get("local", {})
+            .get("pollution", {})
+            .get("accousticPollution", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local Pedestrian travel time"]
+        + [
+            json_inputs[i]["bilbao"]
+            .get("local")
+            .get("traffic", {})
+            .get("pedestrianTravelTime", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local Daily internal bike travels"]
+        + [
+            json_inputs[i]["bilbao"]
+            .get("local")
+            .get("traffic", {})
+            .get("dailyInternalBikeTravels", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide NOx"]
+        + [
+            json_inputs[i]["bilbao"]
+            .get("cityWide", {})
+            .get("pollution", {})
+            .get("NOx", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide PM10"]
+        + [
+            json_inputs[i]["bilbao"]
+            .get("cityWide", {})
+            .get("pollution", {})
+            .get("PM", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide CO2"]
+        + [
+            json_inputs[i]["bilbao"]
+            .get("cityWide", {})
+            .get("pollution", {})
+            .get("CO2_TOTAL", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide Acoustic pollution"]
+        + [
+            json_inputs[i]["bilbao"]
+            .get("cityWide", {})
+            .get("pollution", {})
+            .get("pollution", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide Pedestrian travel time"]
+        + [
+            json_inputs[i]["bilbao"]
+            .get("cityWide", {})
+            .get("traffic", {})
+            .get("pedestrianTravelTime", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide Daily internal bike travels"]
+        + [
+            json_inputs[i]["bilbao"]
+            .get("cityWide", {})
+            .get("traffic", {})
+            .get("dailyInternalBikeTravels", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Entry capacity to center"]
+        + [
+            json_inputs[i]["bilbao"].get("entryCapacityToCenter", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+    ]
+
+    return dexi_input
+
+
+def create_dexi_input_helsinki(json_inputs, compare_sim_name):
+    """
+    Returns the dexi inputs list for Helsinki.
+    """
+    return [
+        [""] + compare_sim_name,
+        ["Local NOx"]
+        + [
+            json_inputs[i]["helsinki"]["local"].get("pollution", {}).get("NOx", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local PM10"]
+        + [
+            json_inputs[i]["helsinki"]["local"].get("pollution", {}).get("PM", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local CO2"]
+        + [
+            json_inputs[i]["helsinki"]["local"].get("pollution", {}).get("CO2_TOTAL", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local Acoustic pollution"]
+        + [
+            json_inputs[i]["helsinki"]["local"]
+            .get("pollution", {})
+            .get("acousticPollution", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local congestions and bottlenecks"]
+        + [
+            json_inputs[i]["helsinki"]["local"].get("congestionsAndBottlenecks", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide NOx"]
+        + [
+            json_inputs[i]["helsinki"]["cityWide"].get("pollution", {}).get("NOx", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide PM10"]
+        + [
+            json_inputs[i]["helsinki"]["cityWide"].get("pollution", {}).get("PM", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide CO2"]
+        + [
+            json_inputs[i]["helsinki"]["cityWide"].get("pollution", {}).get("CO2_TOTAL", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide Acoustic pollution"]
+        + [
+            json_inputs[i]["helsinki"]["cityWide"]
+            .get("pollution", {})
+            .get("acousticPollution", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide congestions and bottlenecks"]
+        + [
+            json_inputs[i]["helsinki"]["cityWide"].get("congestionsAndBottlenecks", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Harbour area traffic flow"]
+        + [
+            json_inputs[i].get("harbourAreaTrafficFlow", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+    ]
+
+
+def create_dexi_input_messina(json_inputs, compare_sim_name):
+    """
+    Returns the dexi inputs list for Messina.
+    """
+    return [
+        [""] + compare_sim_name,
+        ["Local public transport use"]
+        + [
+            json_inputs[i]["messina"]["local"]
+            .get("publicTransport", {})
+            .get("publicTransportUse", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local average speed of public transport"]
+        + [
+            json_inputs[i]["messina"]["local"]
+            .get("publicTransport", {})
+            .get("averageSpeedOfPublicTransport", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local number of bike trips"]
+        + [
+            json_inputs[i]["messina"]["local"]
+            .get("publicTransport", {})
+            .get("numberOfBikeTrips", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local share of public transport"]
+        + [
+            json_inputs[i]["messina"]["local"]
+            .get("shareOfTrips", {})
+            .get("shareOfPublicTransport", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local share of car trips"]
+        + [
+            json_inputs[i]["messina"]["local"]
+            .get("shareOfTrips", {})
+            .get("shareOfCarTrips", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["Local share of bicycles"]
+        + [
+            json_inputs[i]["messina"]["local"]
+            .get("shareOfTrips", {})
+            .get("shareOfBicycles", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide public transport use"]
+        + [
+            json_inputs[i]["messina"]["cityWide"]
+            .get("publicTransport", {})
+            .get("publicTransportUse", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide average speed of public transport"]
+        + [
+            json_inputs[i]["messina"]["cityWide"]
+            .get("publicTransport", {})
+            .get("averageSpeedOfPublicTransport", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide number of bike trips"]
+        + [
+            json_inputs[i]["messina"]["cityWide"]
+            .get("publicTransport", {})
+            .get("numberOfBikeTrips", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide share of public transport"]
+        + [
+            json_inputs[i]["messina"]["cityWide"]
+            .get("shareOfTrips", {})
+            .get("shareOfPublicTransport", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide share of car trips"]
+        + [
+            json_inputs[i]["messina"]["cityWide"]
+            .get("shareOfTrips", {})
+            .get("shareOfCarTrips", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+        ["City-wide share of bicycles"]
+        + [
+            json_inputs[i]["messina"]["cityWide"]
+            .get("shareOfTrips", {})
+            .get("shareOfBicycles", 2)
+            for i, _ in enumerate(compare_sim_name)
+        ],
+    ]
+
+
+def call_dexi(dexi_model_path, dexi_input_path, dexi_output_path):
+    """
+    Calls dexi, logs dexi return status.
+    """
+    subprocess_status = 0
+    if platform.system().lower() == "linux":
+        subprocess_status = subprocess.call(
+            [
+                f"{dexi_dir}/DEXiEval",
+                dexi_model_path,
+                dexi_input_path,
+                "-noindent",
+                dexi_output_path,
+            ]
+        )
+    else:
+        subprocess_status = subprocess.call(
+            [
+                f"{dexi_dir}DEXiEval.exe",
+                dexi_model_path,
+                dexi_input_path,
+                "-noindent",
+                dexi_output_path,
+            ]
+        )
+    app.logger.debug(f"DEXI subprocess status {subprocess_status}")
+
+
+def read_dexi_output(dexi_output_path: str, simulation_names: List[str]) -> Dict:
+    """
+    Reads dexi output files and returns object.
+    """
+    dexi_output = list(csv.DictReader(open(dexi_output_path, "r", encoding="utf-8")))
+    output = {s: {k[""]: k[s] for k in dexi_output} for s in simulation_names}
+    return output
+
+
+def write_results(dexi_output, sim_id, sim_dir):
+    """
+    Write outputs to simulation directory.
+    """
+    path = f"{data_dir}/simulations/{sim_id}/results/{sim_dir}/evaluated.json"
+    with open(path, "w", encoding="utf-8") as fd:
+        json.dump(dexi_output, fd)
diff --git a/ejemplo.txt b/ejemplo.txt
new file mode 100644
index 0000000..528bea8
--- /dev/null
+++ b/ejemplo.txt
@@ -0,0 +1,3 @@
+prueba1
+prueba2
+prueba3
diff --git a/finalized_model.sav b/finalized_model.sav
new file mode 100644
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GIT binary patch
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diff --git a/kpis.json b/kpis.json
new file mode 100644
index 0000000..a74b417
--- /dev/null
+++ b/kpis.json
@@ -0,0 +1,34 @@
+{
+  "simulation_id": 2,
+  "bilbao": {
+    "cityWide": {
+      "traffic": {
+        "pedestrianTravelTime": 2120.339269937224,
+        "dailyInternalBikeTravels": 1801
+      },
+      "pollution": {
+        "CO": 73208.2575225834,
+        "CO2_TOTAL": 3235293.3925066995,
+        "HC": 13157.842323619561,
+        "NOx": 5239.199220005189,
+        "PM": 77.20151943494339,
+        "CO2_rep": 2747710.252532586
+      }
+    },
+    "local": {
+      "traffic": {
+        "pedestrianTravelTime": 0,
+        "dailyInternalBikeTravels": 0
+      },
+      "pollution": {
+        "CO": 0.0,
+        "CO2_TOTAL": 0.0,
+        "HC": 0.0,
+        "NOx": 0.0,
+        "PM": 0.0,
+        "CO2_rep": 0.0
+      }
+    },
+    "entryCapacityToCenter": 0
+  }
+}
\ No newline at end of file
diff --git a/kpis_amsterdam.dex b/kpis_amsterdam.dex
new file mode 100644
index 0000000..838c364
--- /dev/null
+++ b/kpis_amsterdam.dex
@@ -0,0 +1,338 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<DEXi>
+  <VERSION>5.05</VERSION>
+  <CREATED>2022-03-09T14:12:15</CREATED>
+  <SETTINGS/>
+  <ATTRIBUTE>
+    <NAME>Mobility Policy Quality</NAME>
+    <SCALE>
+      <ORDER>DESC</ORDER>
+      <SCALEVALUE>
+        <NAME>Better</NAME>
+        <GROUP>GOOD</GROUP>
+      </SCALEVALUE>
+      <SCALEVALUE>
+        <NAME>Same</NAME>
+      </SCALEVALUE>
+      <SCALEVALUE>
+        <NAME>Worse</NAME>
+        <GROUP>BAD</GROUP>
+      </SCALEVALUE>
+    </SCALE>
+    <FUNCTION>
+      <LOW>001012122</LOW>
+    </FUNCTION>
+    <ATTRIBUTE>
+      <NAME>Local</NAME>
+      <SCALE>
+        <ORDER>DESC</ORDER>
+        <SCALEVALUE>
+          <NAME>Better</NAME>
+          <GROUP>GOOD</GROUP>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Same</NAME>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Worse</NAME>
+          <GROUP>BAD</GROUP>
+        </SCALEVALUE>
+      </SCALE>
+      <FUNCTION>
+        <LOW>001012122</LOW>
+      </FUNCTION>
+      <ATTRIBUTE>
+        <NAME>Local traffic</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>2221122111211101110011000</LOW>
+          <ENTERED>+-----------------------+</ENTERED>
+          <WEIGHTS>50;50</WEIGHTS>
+          <LOCWEIGHTS>50.00;50.00</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>50.00;50.00</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <ATTRIBUTE>
+          <NAME>Local bike intensity</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>0%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>Local bike congestion</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>0%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+      <ATTRIBUTE>
+        <NAME>Local bike infrastructure</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>2221122111211101110011000</LOW>
+          <ENTERED>+-----------------------+</ENTERED>
+          <WEIGHTS>50;50</WEIGHTS>
+          <LOCWEIGHTS>50.00;50.00</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>50.00;50.00</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <ATTRIBUTE>
+          <NAME>Local bike safety</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>0%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>Local bikeability</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>0%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+    </ATTRIBUTE>
+    <ATTRIBUTE>
+      <NAME>City-wide</NAME>
+      <SCALE>
+        <ORDER>DESC</ORDER>
+        <SCALEVALUE>
+          <NAME>Better</NAME>
+          <GROUP>GOOD</GROUP>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Same</NAME>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Worse</NAME>
+          <GROUP>BAD</GROUP>
+        </SCALEVALUE>
+      </SCALE>
+      <FUNCTION>
+        <LOW>001012122</LOW>
+      </FUNCTION>
+      <ATTRIBUTE>
+        <NAME>City-wide traffic</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>2221122111211101110011000</LOW>
+          <ENTERED>+-----------------------+</ENTERED>
+          <WEIGHTS>50;50</WEIGHTS>
+          <LOCWEIGHTS>50.00;50.00</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>50.00;50.00</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <ATTRIBUTE>
+          <NAME>City-wide bike intensity</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>0%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>City-wide bike congestion</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>0%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+      <ATTRIBUTE>
+        <NAME>City-wide bike infrastructure</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>2221122111211101110011000</LOW>
+          <ENTERED>+-----------------------+</ENTERED>
+          <WEIGHTS>50;50</WEIGHTS>
+          <LOCWEIGHTS>50.00;50.00</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>50.00;50.00</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <ATTRIBUTE>
+          <NAME>City-wide bike safety</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>0%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>City-wide bikeability</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>0%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+    </ATTRIBUTE>
+  </ATTRIBUTE>
+</DEXi>
diff --git a/kpis_area.json b/kpis_area.json
new file mode 100644
index 0000000..0e43a74
--- /dev/null
+++ b/kpis_area.json
@@ -0,0 +1,35 @@
+{
+  "simulation_id": 2,
+  "area": 1,
+  "bilbao": {
+    "cityWide": {
+      "traffic": {
+        "pedestrianTravelTime": 2120.339269937224,
+        "dailyInternalBikeTravels": 1801
+      },
+      "pollution": {
+        "CO": 73208.2575225834,
+        "CO2_TOTAL": 3235293.3925066995,
+        "HC": 13157.842323619561,
+        "NOx": 5239.199220005189,
+        "PM": 77.20151943494339,
+        "CO2_rep": 2747710.252532586
+      }
+    },
+    "local": {
+      "traffic": {
+        "pedestrianTravelTime": 0,
+        "dailyInternalBikeTravels": 0
+      },
+      "pollution": {
+        "CO": 0.0,
+        "CO2_TOTAL": 0.0,
+        "HC": 0.0,
+        "NOx": 0.0,
+        "PM": 0.0,
+        "CO2_rep": 0.0
+      }
+    },
+    "entryCapacityToCenter": 0
+  }
+}
\ No newline at end of file
diff --git a/kpis_bilbao.dex b/kpis_bilbao.dex
new file mode 100644
index 0000000..b6e4a74
--- /dev/null
+++ b/kpis_bilbao.dex
@@ -0,0 +1,597 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<DEXi>
+  <VERSION>5.05</VERSION>
+  <CREATED>2022-11-08T16:18:36</CREATED>
+  <OPTION>a</OPTION>
+  <OPTION>b</OPTION>
+  <SETTINGS/>
+  <ATTRIBUTE>
+    <NAME>Mobility Policy Quality</NAME>
+    <SCALE>
+      <ORDER>DESC</ORDER>
+      <SCALEVALUE>
+        <NAME>Better</NAME>
+        <GROUP>GOOD</GROUP>
+      </SCALEVALUE>
+      <SCALEVALUE>
+        <NAME>Same</NAME>
+      </SCALEVALUE>
+      <SCALEVALUE>
+        <NAME>Worse</NAME>
+        <GROUP>BAD</GROUP>
+      </SCALEVALUE>
+    </SCALE>
+    <FUNCTION>
+      <LOW>100001100022100110002111022211221002221122221</LOW>
+    </FUNCTION>
+    <OPTION>2</OPTION>
+    <OPTION>0</OPTION>
+    <ATTRIBUTE>
+      <NAME>Local</NAME>
+      <SCALE>
+        <ORDER>DESC</ORDER>
+        <SCALEVALUE>
+          <NAME>Better</NAME>
+          <GROUP>GOOD</GROUP>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Same</NAME>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Worse</NAME>
+          <GROUP>BAD</GROUP>
+        </SCALEVALUE>
+      </SCALE>
+      <FUNCTION>
+        <LOW>001012122</LOW>
+      </FUNCTION>
+      <OPTION>2</OPTION>
+      <OPTION>0</OPTION>
+      <ATTRIBUTE>
+        <NAME>Local Pollution</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>2221122111211101110011000</LOW>
+          <ENTERED>+-----------+-----------+</ENTERED>
+          <WEIGHTS>50;50</WEIGHTS>
+          <LOCWEIGHTS>0.00;0.00</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>0.00;0.00</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <OPTION>2</OPTION>
+        <OPTION>0</OPTION>
+        <ATTRIBUTE>
+          <NAME>Local Emissions</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+          <FUNCTION>
+            <LOW>00112011221122212223222330112211222122232223322334112221222322233223342334412223222332233423344334442223322334233443344434444</LOW>
+            <ENTERED>+------------------------------------------------------------------------------------------------+++-------------------------</ENTERED>
+            <WEIGHTS>33.3333333333333;33.3333333333333;33.3333333333333</WEIGHTS>
+            <LOCWEIGHTS>33.33;42.42;24.24</LOCWEIGHTS>
+            <NORMLOCWEIGHTS>33.33;42.42;24.24</NORMLOCWEIGHTS>
+          </FUNCTION>
+          <OPTION>1</OPTION>
+          <OPTION>2</OPTION>
+          <ATTRIBUTE>
+            <NAME>Local NOx</NAME>
+            <SCALE>
+              <SCALEVALUE>
+                <NAME>+15%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+5%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+/- 0%</NAME>
+                <DESCRIPTION>No change</DESCRIPTION>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>- 5%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>-15%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+            </SCALE>
+            <OPTION>1</OPTION>
+            <OPTION>2</OPTION>
+          </ATTRIBUTE>
+          <ATTRIBUTE>
+            <NAME>Local PM10</NAME>
+            <SCALE>
+              <SCALEVALUE>
+                <NAME>+15%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+5%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+/- 0%</NAME>
+                <DESCRIPTION>No change</DESCRIPTION>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>- 5%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>-15%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+            </SCALE>
+            <OPTION>1</OPTION>
+            <OPTION>3</OPTION>
+          </ATTRIBUTE>
+          <ATTRIBUTE>
+            <NAME>Local CO2</NAME>
+            <SCALE>
+              <SCALEVALUE>
+                <NAME>+15%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+5%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+/- 0%</NAME>
+                <DESCRIPTION>No change</DESCRIPTION>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>- 5%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>-15%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+            </SCALE>
+            <OPTION>1</OPTION>
+            <OPTION>1</OPTION>
+          </ATTRIBUTE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>Local Acoustic pollution</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+          <OPTION>1</OPTION>
+          <OPTION>4</OPTION>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+      <ATTRIBUTE>
+        <NAME>Local Traffic</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>2221122111211101110011000</LOW>
+          <ENTERED>+-----------------------+</ENTERED>
+          <WEIGHTS>50;50</WEIGHTS>
+          <LOCWEIGHTS>50.00;50.00</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>50.00;50.00</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <OPTION>2</OPTION>
+        <OPTION>1</OPTION>
+        <ATTRIBUTE>
+          <NAME>Local Pedestrian travel time</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+          <OPTION>1</OPTION>
+          <OPTION>3</OPTION>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>Local Daily internal bike travels</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+          <OPTION>1</OPTION>
+          <OPTION>1</OPTION>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+    </ATTRIBUTE>
+    <ATTRIBUTE>
+      <NAME>City-wide</NAME>
+      <SCALE>
+        <ORDER>DESC</ORDER>
+        <SCALEVALUE>
+          <NAME>Better</NAME>
+          <GROUP>GOOD</GROUP>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Same</NAME>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Worse</NAME>
+          <GROUP>BAD</GROUP>
+        </SCALEVALUE>
+      </SCALE>
+      <FUNCTION>
+        <LOW>011012122</LOW>
+      </FUNCTION>
+      <OPTION>2</OPTION>
+      <OPTION>1</OPTION>
+      <ATTRIBUTE>
+        <NAME>City-wide Pollution</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>2221122111211101110011000</LOW>
+          <ENTERED>+-----------+-----------+</ENTERED>
+          <WEIGHTS>50;50</WEIGHTS>
+          <LOCWEIGHTS>0.00;0.00</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>0.00;0.00</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <OPTION>2</OPTION>
+        <OPTION>1</OPTION>
+        <ATTRIBUTE>
+          <NAME>City-wide Acoustic pollution</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+          <OPTION>1</OPTION>
+          <OPTION>2</OPTION>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>City-wide Emissions</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+          <FUNCTION>
+            <LOW>00111011121112211223122330111211122112231223322333111221122312233223332333411223122332233323334333441223322333233343334433444</LOW>
+            <ENTERED>+-------------------------------------------------------------------------------------------------------------------------+++</ENTERED>
+            <WEIGHTS>33.3333333333333;33.3333333333333;33.3333333333333</WEIGHTS>
+            <LOCWEIGHTS>0.00;0.00;0.00</LOCWEIGHTS>
+            <NORMLOCWEIGHTS>0.00;0.00;0.00</NORMLOCWEIGHTS>
+          </FUNCTION>
+          <OPTION>1</OPTION>
+          <OPTION>2</OPTION>
+          <ATTRIBUTE>
+            <NAME>City-wide NOx</NAME>
+            <SCALE>
+              <SCALEVALUE>
+                <NAME>+15%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+5%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+/- 0%</NAME>
+                <DESCRIPTION>No change</DESCRIPTION>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>- 5%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>-15%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+            </SCALE>
+            <OPTION>1</OPTION>
+            <OPTION>1</OPTION>
+          </ATTRIBUTE>
+          <ATTRIBUTE>
+            <NAME>City-wide PM10</NAME>
+            <SCALE>
+              <SCALEVALUE>
+                <NAME>+15%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+5%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+/- 0%</NAME>
+                <DESCRIPTION>No change</DESCRIPTION>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>- 5%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>-15%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+            </SCALE>
+            <OPTION>1</OPTION>
+            <OPTION>2</OPTION>
+          </ATTRIBUTE>
+          <ATTRIBUTE>
+            <NAME>City-wide CO2</NAME>
+            <SCALE>
+              <SCALEVALUE>
+                <NAME>+15%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+5%</NAME>
+                <GROUP>BAD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>+/- 0%</NAME>
+                <DESCRIPTION>No change</DESCRIPTION>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>- 5%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+              <SCALEVALUE>
+                <NAME>-15%</NAME>
+                <GROUP>GOOD</GROUP>
+              </SCALEVALUE>
+            </SCALE>
+            <OPTION>1</OPTION>
+            <OPTION>3</OPTION>
+          </ATTRIBUTE>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+      <ATTRIBUTE>
+        <NAME>City-wide Traffic</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>2221122111211101110011000</LOW>
+          <ENTERED>+-----------------------+</ENTERED>
+          <WEIGHTS>50;50</WEIGHTS>
+          <LOCWEIGHTS>50.00;50.00</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>50.00;50.00</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <OPTION>2</OPTION>
+        <OPTION>1</OPTION>
+        <ATTRIBUTE>
+          <NAME>City-wide Pedestrian travel time</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+          <OPTION>1</OPTION>
+          <OPTION>3</OPTION>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>City-wide Daily internal bike travels</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+          <OPTION>1</OPTION>
+          <OPTION>2</OPTION>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+    </ATTRIBUTE>
+    <ATTRIBUTE>
+      <NAME>Entry capacity to center</NAME>
+      <SCALE>
+        <SCALEVALUE>
+          <NAME>+15%</NAME>
+          <GROUP>BAD</GROUP>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>+5%</NAME>
+          <GROUP>BAD</GROUP>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>+/- 0%</NAME>
+          <DESCRIPTION>No change</DESCRIPTION>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>- 5%</NAME>
+          <GROUP>GOOD</GROUP>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>-15%</NAME>
+          <GROUP>GOOD</GROUP>
+        </SCALEVALUE>
+      </SCALE>
+      <OPTION>1</OPTION>
+      <OPTION>2</OPTION>
+    </ATTRIBUTE>
+  </ATTRIBUTE>
+</DEXi>
diff --git a/kpis_helsinki.dex b/kpis_helsinki.dex
new file mode 100644
index 0000000..e69de29
diff --git a/kpis_messina.dex b/kpis_messina.dex
new file mode 100644
index 0000000..a11189c
--- /dev/null
+++ b/kpis_messina.dex
@@ -0,0 +1,452 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<DEXi>
+  <VERSION>5.05</VERSION>
+  <CREATED>2022-05-05T14:48:27</CREATED>
+  <SETTINGS/>
+  <ATTRIBUTE>
+    <NAME>Mobility Policy Quality</NAME>
+    <SCALE>
+      <ORDER>DESC</ORDER>
+      <SCALEVALUE>
+        <NAME>Better</NAME>
+        <GROUP>GOOD</GROUP>
+      </SCALEVALUE>
+      <SCALEVALUE>
+        <NAME>Same</NAME>
+      </SCALEVALUE>
+      <SCALEVALUE>
+        <NAME>Worse</NAME>
+        <GROUP>BAD</GROUP>
+      </SCALEVALUE>
+    </SCALE>
+    <FUNCTION>
+      <LOW>001012122</LOW>
+    </FUNCTION>
+    <ATTRIBUTE>
+      <NAME>Local</NAME>
+      <SCALE>
+        <ORDER>DESC</ORDER>
+        <SCALEVALUE>
+          <NAME>Better</NAME>
+          <GROUP>GOOD</GROUP>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Same</NAME>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Worse</NAME>
+          <GROUP>BAD</GROUP>
+        </SCALEVALUE>
+      </SCALE>
+      <FUNCTION>
+        <LOW>001012122</LOW>
+      </FUNCTION>
+      <ATTRIBUTE>
+        <NAME>Local public transport</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>22221222112211121111111112221122111211111111111110221112111111111111101110021111111111111011100110001111111110111001100010000</LOW>
+          <ENTERED>+---------------------------------------------------------------------------------------------------------------------------+</ENTERED>
+          <WEIGHTS>33.3333333333333;33.3333333333333;33.3333333333333</WEIGHTS>
+          <LOCWEIGHTS>33.33;33.33;33.33</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>33.33;33.33;33.33</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <ATTRIBUTE>
+          <NAME>Local public transport use</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>Local average speed of public transport</NAME>
+          <DESCRIPTION>average speed of trams and busses</DESCRIPTION>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>Local number of bike trips</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+      <ATTRIBUTE>
+        <NAME>Local share of trips</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>22221222112211121111111112221122111211111111111110221112111111111111101110021111111111111011100110001111111110111001100010000</LOW>
+          <ENTERED>+---------------------------------------------------------------------------------------------------------------------------+</ENTERED>
+          <WEIGHTS>33.3333333333333;33.3333333333333;33.3333333333333</WEIGHTS>
+          <LOCWEIGHTS>33.33;33.33;33.33</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>33.33;33.33;33.33</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <ATTRIBUTE>
+          <NAME>Local share of public transport</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>0%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>Local share of car trips</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>Local share of bicycles</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>0%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+    </ATTRIBUTE>
+    <ATTRIBUTE>
+      <NAME>City-wide</NAME>
+      <SCALE>
+        <ORDER>DESC</ORDER>
+        <SCALEVALUE>
+          <NAME>Better</NAME>
+          <GROUP>GOOD</GROUP>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Same</NAME>
+        </SCALEVALUE>
+        <SCALEVALUE>
+          <NAME>Worse</NAME>
+          <GROUP>BAD</GROUP>
+        </SCALEVALUE>
+      </SCALE>
+      <FUNCTION>
+        <LOW>001012122</LOW>
+      </FUNCTION>
+      <ATTRIBUTE>
+        <NAME>City-wide public transport</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>22221222112211121111111112221122111211111111111110221112111111111111101110021111111111111011100110001111111110111001100010000</LOW>
+          <ENTERED>+---------------------------------------------------------------------------------------------------------------------------+</ENTERED>
+          <WEIGHTS>33.3333333333333;33.3333333333333;33.3333333333333</WEIGHTS>
+          <LOCWEIGHTS>33.33;33.33;33.33</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>33.33;33.33;33.33</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <ATTRIBUTE>
+          <NAME>City-widel public transport use</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>City-wide average speed of public transport</NAME>
+          <DESCRIPTION>average speed of trams and busses</DESCRIPTION>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>City-wide number of bike trips</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+      <ATTRIBUTE>
+        <NAME>City-wide share of trips</NAME>
+        <SCALE>
+          <ORDER>DESC</ORDER>
+          <SCALEVALUE>
+            <NAME>Better</NAME>
+            <GROUP>GOOD</GROUP>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Same</NAME>
+          </SCALEVALUE>
+          <SCALEVALUE>
+            <NAME>Worse</NAME>
+            <GROUP>BAD</GROUP>
+          </SCALEVALUE>
+        </SCALE>
+        <FUNCTION>
+          <LOW>22221222112211121111111112221122111211111111111110221112111111111111101110021111111111111011100110001111111110111001100010000</LOW>
+          <ENTERED>+---------------------------------------------------------------------------------------------------------------------------+</ENTERED>
+          <WEIGHTS>33.3333333333333;33.3333333333333;33.3333333333333</WEIGHTS>
+          <LOCWEIGHTS>33.33;33.33;33.33</LOCWEIGHTS>
+          <NORMLOCWEIGHTS>33.33;33.33;33.33</NORMLOCWEIGHTS>
+        </FUNCTION>
+        <ATTRIBUTE>
+          <NAME>City-wide share of public transport</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>0%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>City-wide share of car trips</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+/- 0%</NAME>
+              <DESCRIPTION>No change</DESCRIPTION>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>- 5%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+        <ATTRIBUTE>
+          <NAME>City-wide share of bicycles</NAME>
+          <SCALE>
+            <SCALEVALUE>
+              <NAME>-15%</NAME>
+              <GROUP>BAD</GROUP>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>-5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>0%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+5%</NAME>
+            </SCALEVALUE>
+            <SCALEVALUE>
+              <NAME>+15%</NAME>
+              <GROUP>GOOD</GROUP>
+            </SCALEVALUE>
+          </SCALE>
+        </ATTRIBUTE>
+      </ATTRIBUTE>
+    </ATTRIBUTE>
+  </ATTRIBUTE>
+</DEXi>
diff --git a/kpis_relative.json b/kpis_relative.json
new file mode 100644
index 0000000..a74b417
--- /dev/null
+++ b/kpis_relative.json
@@ -0,0 +1,34 @@
+{
+  "simulation_id": 2,
+  "bilbao": {
+    "cityWide": {
+      "traffic": {
+        "pedestrianTravelTime": 2120.339269937224,
+        "dailyInternalBikeTravels": 1801
+      },
+      "pollution": {
+        "CO": 73208.2575225834,
+        "CO2_TOTAL": 3235293.3925066995,
+        "HC": 13157.842323619561,
+        "NOx": 5239.199220005189,
+        "PM": 77.20151943494339,
+        "CO2_rep": 2747710.252532586
+      }
+    },
+    "local": {
+      "traffic": {
+        "pedestrianTravelTime": 0,
+        "dailyInternalBikeTravels": 0
+      },
+      "pollution": {
+        "CO": 0.0,
+        "CO2_TOTAL": 0.0,
+        "HC": 0.0,
+        "NOx": 0.0,
+        "PM": 0.0,
+        "CO2_rep": 0.0
+      }
+    },
+    "entryCapacityToCenter": 0
+  }
+}
\ No newline at end of file
diff --git a/kpis_relative_area.json b/kpis_relative_area.json
new file mode 100644
index 0000000..0e43a74
--- /dev/null
+++ b/kpis_relative_area.json
@@ -0,0 +1,35 @@
+{
+  "simulation_id": 2,
+  "area": 1,
+  "bilbao": {
+    "cityWide": {
+      "traffic": {
+        "pedestrianTravelTime": 2120.339269937224,
+        "dailyInternalBikeTravels": 1801
+      },
+      "pollution": {
+        "CO": 73208.2575225834,
+        "CO2_TOTAL": 3235293.3925066995,
+        "HC": 13157.842323619561,
+        "NOx": 5239.199220005189,
+        "PM": 77.20151943494339,
+        "CO2_rep": 2747710.252532586
+      }
+    },
+    "local": {
+      "traffic": {
+        "pedestrianTravelTime": 0,
+        "dailyInternalBikeTravels": 0
+      },
+      "pollution": {
+        "CO": 0.0,
+        "CO2_TOTAL": 0.0,
+        "HC": 0.0,
+        "NOx": 0.0,
+        "PM": 0.0,
+        "CO2_rep": 0.0
+      }
+    },
+    "entryCapacityToCenter": 0
+  }
+}
\ No newline at end of file
diff --git a/model3.pkcls b/model3.pkcls
new file mode 100644
index 0000000000000000000000000000000000000000..3875999309b90f6cf5ac95dd70bc5a5061acf42b
GIT binary patch
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diff --git a/modelo.pkcls b/modelo.pkcls
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diff --git a/pyvenv.cfg b/pyvenv.cfg
new file mode 100644
index 0000000..9f0aa4a
--- /dev/null
+++ b/pyvenv.cfg
@@ -0,0 +1,3 @@
+home = /home/esilab/anaconda3/bin
+include-system-site-packages = false
+version = 3.8.8
diff --git a/start.sh b/start.sh
new file mode 100644
index 0000000..1852f6b
--- /dev/null
+++ b/start.sh
@@ -0,0 +1 @@
+source bin/activate
-- 
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