<data>
<row _id="1"><city>Milano</city><regione>Lombardia</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = congestion index in extra urban settings (median % ga_3>0,151</X1 = congestion index in extra urban settings (median % ga_3><X2 = efficacy index of local public transport in extra urb_4>0,011</X2 = efficacy index of local public transport in extra urb_4><x1_anno>2019</x1_anno><x2_anno>2019</x2_anno><x1_città/regione>Lombardia</x1_città/regione><x2_città/regione>Lombardia</x2_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x1_fonte>PTS CLAS on Google Maps data</x1_fonte><x2_fonte>PTS CLAS on Google Maps data</x2_fonte><x1_note>median delay when traveling by private means of transport between extra urban settings and the center. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>median time saved when traveling by local public transport rather than by car between extra urban settings and the center. The reference traveler type is one who travels between 7 a.m. and 8 p.m. on a working day, every 15 minutes, along a certain origin-destination route</x2_note><X1 indice (media=1)>0,532098747166628</X1 indice (media=1)><X2 indice (media=1)>0,55</X2 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,541049373583314</Score di dimensione (media X123 indicizzati)></row>
<row _id="2"><city>Barcelona</city><regione>Cataluña</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = congestion index in extra urban settings (median % ga_3>0,087</X1 = congestion index in extra urban settings (median % ga_3><X2 = efficacy index of local public transport in extra urb_4>0,034</X2 = efficacy index of local public transport in extra urb_4><x1_anno>2019</x1_anno><x2_anno>2019</x2_anno><x1_città/regione>Cataluña</x1_città/regione><x2_città/regione>Cataluña</x2_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x1_fonte>PTS CLAS on Google Maps data</x1_fonte><x2_fonte>PTS CLAS on Google Maps data</x2_fonte><x1_note>median delay when traveling by private means of transport between extra urban settings and the center. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>median time saved when traveling by local public transport rather than by car between extra urban settings and the center. The reference traveler type is one who travels between 7 a.m. and 8 p.m. on a working day, every 15 minutes, along a certain origin-destination route</x2_note><X1 indice (media=1)>0,92352771059955</X1 indice (media=1)><X2 indice (media=1)>1,7</X2 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,31176385529978</Score di dimensione (media X123 indicizzati)></row>
<row _id="3"><city>Lyon</city><regione>Rhône-Alpes</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = congestion index in extra urban settings (median % ga_3>0,07</X1 = congestion index in extra urban settings (median % ga_3><X2 = efficacy index of local public transport in extra urb_4>n.a.</X2 = efficacy index of local public transport in extra urb_4><x1_anno>2019</x1_anno><x2_anno xsi:nil="true" /><x1_città/regione>Baden-Württemberg</x1_città/regione><x2_città/regione /><x1_geo>region</x1_geo><x2_geo /><x1_fonte>PTS CLAS on Google Maps data</x1_fonte><x2_fonte /><x1_note>median delay when traveling by private means of transport between extra urban settings and the center. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>median time saved when traveling by local public transport rather than by car between extra urban settings and the center. The reference traveler type is one who travels between 7 a.m. and 8 p.m. on a working day, every 15 minutes, along a certain origin-destination route</x2_note><X1 indice (media=1)>1,14781301174515</X1 indice (media=1)><X2 indice (media=1) /><Score di dimensione (media X123 indicizzati)>n.a.</Score di dimensione (media X123 indicizzati)></row>
<row _id="4"><city>München</city><regione>Bayern</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = congestion index in extra urban settings (median % ga_3>0,073</X1 = congestion index in extra urban settings (median % ga_3><X2 = efficacy index of local public transport in extra urb_4>-0,013</X2 = efficacy index of local public transport in extra urb_4><x1_anno>2019</x1_anno><x2_anno>2019</x2_anno><x1_città/regione>Bayern</x1_città/regione><x2_città/regione>Bayern</x2_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x1_fonte>PTS CLAS on Google Maps data</x1_fonte><x2_fonte>PTS CLAS on Google Maps data</x2_fonte><x1_note>median delay when traveling by private means of transport between extra urban settings and the center. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>median time saved when traveling by local public transport rather than by car between extra urban settings and the center. The reference traveler type is one who travels between 7 a.m. and 8 p.m. on a working day, every 15 minutes, along a certain origin-destination route</x2_note><X1 indice (media=1)>1,1006426140022</X1 indice (media=1)><X2 indice (media=1)>-0,65</X2 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,225321307001102</Score di dimensione (media X123 indicizzati)></row>
<row _id="5"><city>Stuttgart</city><regione>Baden-Württemberg</regione><Milano Scoreboard edition>2019</Milano Scoreboard edition><X1 = congestion index in extra urban settings (median % ga_3>0,062</X1 = congestion index in extra urban settings (median % ga_3><X2 = efficacy index of local public transport in extra urb_4>0,048</X2 = efficacy index of local public transport in extra urb_4><x1_anno>2019</x1_anno><x2_anno>2019</x2_anno><x1_città/regione>Rhône-Alpes</x1_città/regione><x2_città/regione>Rhône-Alpes</x2_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x1_fonte>PTS CLAS on Google Maps data</x1_fonte><x2_fonte>PTS CLAS on Google Maps data</x2_fonte><x1_note>median delay when traveling by private means of transport between extra urban settings and the center. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>median time saved when traveling by local public transport rather than by car between extra urban settings and the center. The reference traveler type is one who travels between 7 a.m. and 8 p.m. on a working day, every 15 minutes, along a certain origin-destination route</x2_note><X1 indice (media=1)>1,29591791648646</X1 indice (media=1)><X2 indice (media=1)>2,4</X2 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,84795895824323</Score di dimensione (media X123 indicizzati)></row>
<row _id="6"><city>Milano</city><regione>Lombardia</regione><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = congestion index in extra urban settings (median % ga_3>0,12</X1 = congestion index in extra urban settings (median % ga_3><X2 = efficacy index of local public transport in extra urb_4>1,23441568549651E-02</X2 = efficacy index of local public transport in extra urb_4><x1_anno>2018</x1_anno><x2_anno>2018</x2_anno><x1_città/regione>Lombardia</x1_città/regione><x2_città/regione>Lombardia</x2_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x1_fonte>Gruppo CLAS on Google Maps data</x1_fonte><x2_fonte>Gruppo CLAS on Google Maps data</x2_fonte><x1_note>median delay when traveling by private means of transport between extra urban settings and the center. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>median time saved when traveling by local public transport rather than by car between extra urban settings and the center. The reference traveler type is one who travels between 7 a.m. and 8 p.m. on a working day, every 15 minutes, along a certain origin-destination route</x2_note><X1 indice (media=1)>0,508720930232558</X1 indice (media=1)><X2 indice (media=1)>0,889840204716452</X2 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,699280567474505</Score di dimensione (media X123 indicizzati)></row>
<row _id="7"><city>Barcelona</city><regione>Cataluña</regione><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = congestion index in extra urban settings (median % ga_3>0,07</X1 = congestion index in extra urban settings (median % ga_3><X2 = efficacy index of local public transport in extra urb_4>2,99301828821991E-02</X2 = efficacy index of local public transport in extra urb_4><x1_anno>2018</x1_anno><x2_anno>2018</x2_anno><x1_città/regione>Cataluña</x1_città/regione><x2_città/regione>Cataluña</x2_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x1_fonte>Gruppo CLAS on Google Maps data</x1_fonte><x2_fonte>Gruppo CLAS on Google Maps data</x2_fonte><x1_note>median delay when traveling by private means of transport between extra urban settings and the center. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>median time saved when traveling by local public transport rather than by car between extra urban settings and the center. The reference traveler type is one who travels between 7 a.m. and 8 p.m. on a working day, every 15 minutes, along a certain origin-destination route</x2_note><X1 indice (media=1)>0,872093023255814</X1 indice (media=1)><X2 indice (media=1)>2,15754549913909</X2 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,51481926119745</Score di dimensione (media X123 indicizzati)></row>
<row _id="8"><city>Lyon</city><regione>Rhône-Alpes</regione><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = congestion index in extra urban settings (median % ga_3>0,05</X1 = congestion index in extra urban settings (median % ga_3><X2 = efficacy index of local public transport in extra urb_4>n.a.</X2 = efficacy index of local public transport in extra urb_4><x1_anno>2018</x1_anno><x2_anno xsi:nil="true" /><x1_città/regione>Baden-Württemberg</x1_città/regione><x2_città/regione /><x1_geo>region</x1_geo><x2_geo /><x1_fonte>Gruppo CLAS on Google Maps data</x1_fonte><x2_fonte /><x1_note>median delay when traveling by private means of transport between extra urban settings and the center. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>median time saved when traveling by local public transport rather than by car between extra urban settings and the center. The reference traveler type is one who travels between 7 a.m. and 8 p.m. on a working day, every 15 minutes, along a certain origin-destination route</x2_note><X1 indice (media=1)>1,22093023255814</X1 indice (media=1)><X2 indice (media=1) /><Score di dimensione (media X123 indicizzati)>n.a.</Score di dimensione (media X123 indicizzati)></row>
<row _id="9"><city>München</city><regione>Bayern</regione><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = congestion index in extra urban settings (median % ga_3>0,07</X1 = congestion index in extra urban settings (median % ga_3><X2 = efficacy index of local public transport in extra urb_4>-5,42027605126521E-03</X2 = efficacy index of local public transport in extra urb_4><x1_anno>2018</x1_anno><x2_anno>2018</x2_anno><x1_città/regione>Bayern</x1_città/regione><x2_città/regione>Bayern</x2_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x1_fonte>Gruppo CLAS on Google Maps data</x1_fonte><x2_fonte>Gruppo CLAS on Google Maps data</x2_fonte><x1_note>median delay when traveling by private means of transport between extra urban settings and the center. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>median time saved when traveling by local public transport rather than by car between extra urban settings and the center. The reference traveler type is one who travels between 7 a.m. and 8 p.m. on a working day, every 15 minutes, along a certain origin-destination route</x2_note><X1 indice (media=1)>0,872093023255814</X1 indice (media=1)><X2 indice (media=1)>-0,390725718066157</X2 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,240683652594828</Score di dimensione (media X123 indicizzati)></row>
<row _id="10"><city>Stuttgart</city><regione>Baden-Württemberg</regione><Milano Scoreboard edition>2018</Milano Scoreboard edition><X1 = congestion index in extra urban settings (median % ga_3>0,04</X1 = congestion index in extra urban settings (median % ga_3><X2 = efficacy index of local public transport in extra urb_4>1,86352558100596E-02</X2 = efficacy index of local public transport in extra urb_4><x1_anno>2018</x1_anno><x2_anno>2018</x2_anno><x1_città/regione>Rhône-Alpes</x1_città/regione><x2_città/regione>Rhône-Alpes</x2_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x1_fonte>Gruppo CLAS on Google Maps data</x1_fonte><x2_fonte>Gruppo CLAS on Google Maps data</x2_fonte><x1_note>median delay when traveling by private means of transport between extra urban settings and the center. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>median time saved when traveling by local public transport rather than by car between extra urban settings and the center. The reference traveler type is one who travels between 7 a.m. and 8 p.m. on a working day, every 15 minutes, along a certain origin-destination route</x2_note><X1 indice (media=1)>1,52616279069767</X1 indice (media=1)><X2 indice (media=1)>1,34334001421062</X2 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,43475140245415</Score di dimensione (media X123 indicizzati)></row>
<row _id="11"><city>Milano</city><regione>Lombardia</regione><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = congestion index in extra urban settings (median % ga_3>0,125</X1 = congestion index in extra urban settings (median % ga_3><X2 = efficacy index of local public transport in extra urb_4>0,053</X2 = efficacy index of local public transport in extra urb_4><x1_anno>2017</x1_anno><x2_anno>2017</x2_anno><x1_città/regione>Lombardia</x1_città/regione><x2_città/regione>Lombardia</x2_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x1_fonte>Gruppo CLAS on Google Maps data</x1_fonte><x2_fonte>Gruppo CLAS on Google Maps data</x2_fonte><x1_note>median delay when traveling by private means of transport between extra urban settings and the center. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>median time saved when traveling by local public transport rather than by car between extra urban settings and the center. The reference traveler type is one who travels between 7 a.m. and 8 p.m. on a working day, every 15 minutes, along a certain origin-destination route</x2_note><X1 indice (media=1)>0,672244201692096</X1 indice (media=1)><X2 indice (media=1)>1,19101123595506</X2 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,931627718823576</Score di dimensione (media X123 indicizzati)></row>
<row _id="12"><city>Barcelona</city><regione>Cataluña</regione><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = congestion index in extra urban settings (median % ga_3>0,083</X1 = congestion index in extra urban settings (median % ga_3><X2 = efficacy index of local public transport in extra urb_4>0,047</X2 = efficacy index of local public transport in extra urb_4><x1_anno>2017</x1_anno><x2_anno>2017</x2_anno><x1_città/regione>Cataluña</x1_città/regione><x2_città/regione>Cataluña</x2_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x1_fonte>Gruppo CLAS on Google Maps data</x1_fonte><x2_fonte>Gruppo CLAS on Google Maps data</x2_fonte><x1_note>median delay when traveling by private means of transport between extra urban settings and the center. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>median time saved when traveling by local public transport rather than by car between extra urban settings and the center. The reference traveler type is one who travels between 7 a.m. and 8 p.m. on a working day, every 15 minutes, along a certain origin-destination route</x2_note><X1 indice (media=1)>1,01241596640376</X1 indice (media=1)><X2 indice (media=1)>1,0561797752809</X2 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,03429787084233</Score di dimensione (media X123 indicizzati)></row>
<row _id="13"><city>Lyon</city><regione>Rhône-Alpes</regione><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = congestion index in extra urban settings (median % ga_3>0,069</X1 = congestion index in extra urban settings (median % ga_3><X2 = efficacy index of local public transport in extra urb_4>n.a.</X2 = efficacy index of local public transport in extra urb_4><x1_anno>2017</x1_anno><x2_anno xsi:nil="true" /><x1_città/regione>Baden-Württemberg</x1_città/regione><x2_città/regione /><x1_geo>region</x1_geo><x2_geo /><x1_fonte>Gruppo CLAS on Google Maps data</x1_fonte><x2_fonte /><x1_note>median delay when traveling by private means of transport between extra urban settings and the center. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>median time saved when traveling by local public transport rather than by car between extra urban settings and the center. The reference traveler type is one who travels between 7 a.m. and 8 p.m. on a working day, every 15 minutes, along a certain origin-destination route</x2_note><X1 indice (media=1)>1,21783369871757</X1 indice (media=1)><X2 indice (media=1) /><Score di dimensione (media X123 indicizzati)>n.a.</Score di dimensione (media X123 indicizzati)></row>
<row _id="14"><city>München</city><regione>Bayern</regione><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = congestion index in extra urban settings (median % ga_3>0,086</X1 = congestion index in extra urban settings (median % ga_3><X2 = efficacy index of local public transport in extra urb_4>0,035</X2 = efficacy index of local public transport in extra urb_4><x1_anno>2017</x1_anno><x2_anno>2017</x2_anno><x1_città/regione>Bayern</x1_città/regione><x2_città/regione>Bayern</x2_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x1_fonte>Gruppo CLAS on Google Maps data</x1_fonte><x2_fonte>Gruppo CLAS on Google Maps data</x2_fonte><x1_note>median delay when traveling by private means of transport between extra urban settings and the center. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>median time saved when traveling by local public transport rather than by car between extra urban settings and the center. The reference traveler type is one who travels between 7 a.m. and 8 p.m. on a working day, every 15 minutes, along a certain origin-destination route</x2_note><X1 indice (media=1)>0,977099130366419</X1 indice (media=1)><X2 indice (media=1)>0,786516853932584</X2 indice (media=1)><Score di dimensione (media X123 indicizzati)>0,881807992149502</Score di dimensione (media X123 indicizzati)></row>
<row _id="15"><city>Stuttgart</city><regione>Baden-Württemberg</regione><Milano Scoreboard edition>2017</Milano Scoreboard edition><X1 = congestion index in extra urban settings (median % ga_3>0,075</X1 = congestion index in extra urban settings (median % ga_3><X2 = efficacy index of local public transport in extra urb_4>0,043</X2 = efficacy index of local public transport in extra urb_4><x1_anno>2017</x1_anno><x2_anno>2017</x2_anno><x1_città/regione>Rhône-Alpes</x1_città/regione><x2_città/regione>Rhône-Alpes</x2_città/regione><x1_geo>region</x1_geo><x2_geo>region</x2_geo><x1_fonte>Gruppo CLAS on Google Maps data</x1_fonte><x2_fonte>Gruppo CLAS on Google Maps data</x2_fonte><x1_note>median delay when traveling by private means of transport between extra urban settings and the center. To compute the final score, the reciprocal of the indicator is used</x1_note><x2_note>median time saved when traveling by local public transport rather than by car between extra urban settings and the center. The reference traveler type is one who travels between 7 a.m. and 8 p.m. on a working day, every 15 minutes, along a certain origin-destination route</x2_note><X1 indice (media=1)>1,12040700282016</X1 indice (media=1)><X2 indice (media=1)>0,966292134831461</X2 indice (media=1)><Score di dimensione (media X123 indicizzati)>1,04334956882581</Score di dimensione (media X123 indicizzati)></row>
</data>
