SFMTA Municipal Transportation Agency Image: Historic Car number 1 and 162 on Embarcadero                          Urban D...
Outline•    System Overview and Challenges•    The Datasets•    Open Government Data•    What Insights Are We Looking For?...
Muni Overview•  SFMTA operates over   3 million service hours   annually•  5 distinct transit modes   (bus, trolley, cable...
Street Level Challenges
Transit First City•  Safe and efficient movement of   people and goods•  Promote public transit, bicycle and   pedestrian ...
Striving for Reliability                           6
TEP   Signal Priority   Central Subway                                         7
Do these policies and projects work?•  Reliable and faster transit service•  Reliable: On-time and/or expected headways•  ...
Let’s look at the data for answersAutomatic Vehicle Location (AVL)Data•    Time stamp and Lat/long     every 90 sec or 200...
Travel Time Reliability                          10
Terminal Departures Performance                                  12
Geographically Targeted Supervision
Terminal Departures by Time of Day   Large number of   late departures           Early departures           after 10 p.m. ...
Ridership            15
Damn it Jim! I’m    a transitengineer, not a data scientist!
Desired Insights and Visualizations•  Service   –  What does the transit map look like by time      of day?   –  What does...
Desired Insights and Visualizations•  Interaction with traffic    –  Reliability, speed,       delays    –  Heartbeat of t...
Desired Insights and Visualizations•  Transit Project Benefits                                        21
Be Creative!But also help answer the key policy and         operational questions       http://www.nytimes.com/interactive...
Go Forth and Visualize!       Chris Pangilinan @cap_transport          Felipe Robles @fliproblesSan Francisco Municipal Tr...
Urban Data Challenge - Christopher A. Pangilinan
Urban Data Challenge - Christopher A. Pangilinan
Urban Data Challenge - Christopher A. Pangilinan
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Urban Data Challenge - Christopher A. Pangilinan

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Urban Data Challenge - Christopher A. Pangilinan

  1. 1. SFMTA Municipal Transportation Agency Image: Historic Car number 1 and 162 on Embarcadero Urban Data Challenge Visualizing Transportation Data 02 | 06 | 2013 Swissnex
  2. 2. Outline•  System Overview and Challenges•  The Datasets•  Open Government Data•  What Insights Are We Looking For? 2
  3. 3. Muni Overview•  SFMTA operates over 3 million service hours annually•  5 distinct transit modes (bus, trolley, cable car, light rail, historic streetcar)•  710,000 daily boardings 225 million annually•  4th highest usage in the nation (passengers per capita) 3
  4. 4. Street Level Challenges
  5. 5. Transit First City•  Safe and efficient movement of people and goods•  Promote public transit, bicycle and pedestrian travel as attractive alternatives•  Encourage innovative solutions to meet public transportation needs
  6. 6. Striving for Reliability 6
  7. 7. TEP Signal Priority Central Subway 7
  8. 8. Do these policies and projects work?•  Reliable and faster transit service•  Reliable: On-time and/or expected headways•  Reliable: Consistent travel time•  Faster: Less time to travel•  Faster: More frequent service at same cost 8
  9. 9. Let’s look at the data for answersAutomatic Vehicle Location (AVL)Data•  Time stamp and Lat/long every 90 sec or 200 m.•  Scheduled and actual data.•  100 percent coverage.Automatic Passenger Counter(APC) Data•  Passenger on/off data.•  “Dwell time” and traffic delay at stops.•  Scheduled and actual data.•  Covers 30 percent of bus 9
  10. 10. Travel Time Reliability 10
  11. 11. Terminal Departures Performance 12
  12. 12. Geographically Targeted Supervision
  13. 13. Terminal Departures by Time of Day Large number of late departures Early departures after 10 p.m. General unreliability during Owl hours
  14. 14. Ridership 15
  15. 15. Damn it Jim! I’m a transitengineer, not a data scientist!
  16. 16. Desired Insights and Visualizations•  Service –  What does the transit map look like by time of day? –  What does ridership look like by time of day? –  Where are people coming from and going to? 19
  17. 17. Desired Insights and Visualizations•  Interaction with traffic –  Reliability, speed, delays –  Heartbeat of the City: How does the blood flow by time of day, day of week? 20
  18. 18. Desired Insights and Visualizations•  Transit Project Benefits 21
  19. 19. Be Creative!But also help answer the key policy and operational questions http://www.nytimes.com/interactive/ 22 2010/04/02/nyregion/taxi-map.html?
  20. 20. Go Forth and Visualize! Chris Pangilinan @cap_transport Felipe Robles @fliproblesSan Francisco Municipal Transportation Agency

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