Transit Score is a metric to measure public transit accessibility. The document discusses calculating Transit Score for Israel using General Transit Feed Specification (GTFS) data. A 100m by 100m grid is overlaid on Israel. Transit Score is computed for each grid cell by processing GTFS data, filtering for specific areas, and normalizing grid cell scores. KML files are generated to view Transit Scores on maps in Google Earth. Higher scores indicate better transit access.

1. Transit Score for Israel
Nachman Shelef
nachman@miu.org.il
+972544566016

2. Transit Score USA

3. Revision 1.0
TRANSIT SCORE FOR ISRAEL

4. Transit Score uses GTFS
• Transit Score is computed by processing the
transit database provided in GTFS format
• I used Python to process the GTFS files and to
create the Transit Score files

5. As of 1May2012 GTFS is Available in IL
GTFS = General Transit Feed Specification
• Enables many transit related indicators and tools including Transit Score
Transit
Agency
New Transit
New Transit
Applications
New Transit
Applications
Applications
GTFS.zip
Other
Other
Transit
Other
Transit
Agencies
Transit
Agencies
Agencies
Transit
Transit
Application
Transit
Application
Developers
Application
Developers
Developers
Transit
Score
General
Public

6. GTFS Files

7. Fields Linking
GTFS Files

8. Transit Score for Israel Revision 1.0
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A 100mx100m grid is overlaid on the entire area of Israel
A GTFS file is created by geo-filtering any part of Israel from the GTFS file of all of Israel.
Geo-filtering is based on a polygon that surrounds the area of interest. This could be a
region, a single city, a neighborhood, or the entire area of Israel.
A Grid Score is computed for each grid element using the filtered GTFS file (as described
in the next slide)
The Transit Score (between 0 and 100) for each grid element is calculated by normalizing
the Grid Score
– Transit Score(i,j) = 100 * Grid Score(i,j) / Max Grid Score of IL
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The Transit Score for each grid element is mapped to a color spectrum from red through
orange then yellow to green. So that 100 is bright green and 0 is dark red. The color
spectrum is adjusted so that green is good, yellow is ok, orange is bad and red is terrible.
(sounds easy – it turns out to be difficult)
A KML file is generated that includes a polygon of each grid element (that is not zero. i.e
there is at least one bus station within a 900m square around the grid element where at
least one bus stops) with the color corresponding to its Transit Score.
The KML file can be viewed by running GoogleEarth.
– Note that for large files you need to install the GoogleEarth application. The pug-in for GoogleMaps
only works with small files.
– Note too that the large files cause GoogleMaps to work very slowly.
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I captured screen shots from GoogleMaps and copied them into this presentation in the
following slides.

9. Grid Score
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100m
100m
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50%
50%
80%
80%
100%
500m
900m
s_size = 1
• 100m square grid element
• weight_s = 1.0
m_size = 5
• 500m square around grid element
• weight_m = 0.8
l_size = 9
• 900m square around grid element
• weight_l = 0.5
Grid_Score for each grid element =
1.0 * number of trips that stop in grid
element +
0.8 * number of trips that stop in 500m
square around grid element (but not in
grid element) +
0.5 * number of trips that stop in 900m
square around grid element (but not in
grid element nor in 500m around grid
element))

10. http://miu.org.il/MIU_v4/docs_activities/transportation/transit_scores_north.kml

11. http://miu.org.il/MIU_v4/docs_activities/transportation/transit_scores_tel-aviv-metro-area.kml

12. http://miu.org.il/MIU_v4/docs_activities/transportation/transit_scores_tel-aviv-metro-area.kml

13. http://miu.org.il/MIU_v4/docs_activities/transportation/transit_scores_south.kml

14. resources
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Transit Score links
http://www.walkscore.com/transit-score.php
http://www.walkscore.com/transit-score-methodology.shtml
http://www.walkscore.com/methodology.shtml
GTFS related links:
http://groups.google.com/group/transit-developers
http://code.google.com/transit/spec/transit_feed_specification.html
http://code.google.com/p/googletransitdatafeed/wiki/PublicFeeds
http://www.google.com/intl/en/landing/transit
http://maps.google.com/help/maps/transit/partners
http://opentripplanner.com
http://opentripplanner.org
http://www.gtfs-data-exchange.com
http://www.citygoround.org
http://developer.trimet.org
http://timetablepublisher.org

15. GTFS Tutorials / projects
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OTP 2min intro demo (Portland)
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OTP 5min detailed dive-in (Portland)
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http://code.google.com/p/googletransitdatafeed/wiki/TransitFeedDistribution
GTFS feed validator (Portland)
GTFS feed validator (IL)
OSM download (IL)
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http://he.mot.gov.il/index.php?option=com_content&view=article&id=2244:pub-trn-gtfs&catid=167:pub-trn-devinfo&Itemid=304
Download the Transit Feed Python tools
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https://github.com/openplans/OpenTripPlanner/wiki/FiveMinutes
Download GTFS for IL
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https://github.com/openplans/OpenTripPlanner/wiki/TwoMinutes
http://downloads.cloudmade.com/asia/western_asia/israel
GTFS schedule viewer (IL)
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http://code.google.com/p/googletransitdatafeed/wiki/ScheduleViewer
Run using windows executable
Run using python source
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http://code.google.com/p/googletransitdatafeed/wiki/TransitFeedDistribution
OTP 5min detailed dive-in (IL)
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https://github.com/openplans/OpenTripPlanner/wiki/FiveMinutes

16. ‫תחבורה בת קיימא במרחב‬
‫הגדלת השימוש בתחבורה ציבורית ע"י הנגשת מידע לציבור‬
‫/‪http://miu.org.il/new/sustainable_transportation‬‬
‫לארגוני תחבורה:‬
‫אפליקציה לניתוח תחבורה מקבצי ‪GTFS‬‬
‫הסבר על השימוש באפליקציה‬
‫למפתחים ולארגוני תחבורה, קבצי ‪GTFS‬להורדה:‬
‫של כל ישראל‬
‫של גוש דן‬
‫של ירושליים‬
‫של הצפון‬
‫של הדרום‬
‫של רמת אביב ג – קובץ קטן לניסיונות‬
‫למפתחים ולארגוני תחבורה:‬
‫כלי השובר את קובץ ה- ‪GTFS‬של כל ישראל לקבצים קטנים יותר‬
‫של גוש דן, ירושליים, הצפון, והדרום, וגם יוצר קובץ קטן לניסיונות‬
‫של רמת אביב ג.‬
‫להורדת הכלי לחץ כאן‬
‫להסבר על השימוש לחץ כאן‬
‫אתר לתכנון מסלול בתחבורה הציבורית באמצעות מפה!‬
‫הגדלת השימוש בתחבורה ציבורית‬
‫ע"י הנגשת מידע לציבור‬

17. Transit Score for Israel
Nachman Shelef
nachman@miu.org.il
+972544566016