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Completing the Cycle:  Incorporating CycleTracks       into SF-CHAMPUsing technology to understand the needs              ...
Outline1.   Why make CycleTracks?2.   What does CycleTracks do?3.   Who used CycleTracks and why?4.   What data did we get...
1. Why CycleTracks?
Why CycleTracks?Need to prioritize projects, including bike projects.   Estimate a bike choice model that evaluated     v...
2. What doesCycleTracks do?
Enter personal data (optional)
Enter New Trip
Review Saved Trips
That’s it?Bells and whistles could promote deviation from planned route.     Features!                                    ...
3. Who used CycleTracks and Why?        - User Recruitment        - Participants
Participants: who gaveus data?
SF Participants: Fall 2009 to Spring 2010                          CycleTracks    BATS                            N-366   ...
4. What data did we get?    - Data Quality    - Data Summaries
Data Quality: some good, some bad
Urban Canyon Effect                       Haight Ashbury                  vs      Downtown
GPS Signal at Beginning of Trip
Not on a Bike
Post Processing Warranted  5,178 traces                    Gaussian   497 users                      smoothing            ...
5. What did wedo with theCycleTracksData?
Matched Route Features to the Chosen Route…
…as well as to a set of routes that were notchosen
What makes us choose one bike route overanother ?                  Personal      Trip                    Info      Feature...
Estimation resultsAttribute                       Coef.       SE    t-stat.    p-val.Length (mi)                      --1....
Average Marginal Rates of Substitution      MRS of Length on Street for   Value   Units      Turns                        ...
Updates to SF-CHAMP  Synthesized                            Core, 3 iterations  Population                                ...
Bike Accessibility: From 4th and King      SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY   30
Bike Accessibility: To 4th and King      SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY   31
Bike Logsums: From 4th and KingEffect of Bike Plan Build     SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY   32
Bike Logsums: To 4th and KingEffect of Bike Plan Build     SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY   33
Preliminary Results:Tour Mode Choice Sensitivity                    Tour Difference   Daily Tours    v4.1 Harold          ...
Preliminary Results:Trip Mode Choice Sensitivity                     Trip Difference   Daily Tours    v4.1 Harold         ...
SF-CHAMP Predicted Bike Trips                                 Bikes / hour                                       0        ...
6. Evolution andFuture ofCycleTracks
All Open Source                        •   GPL3 License                        •   Code on GitHub                        •...
e.g. AggieTrack  http://aggietrack.com
CycleTracks Works Everywhere…We already have the database set upAgencies can download “scrubbed” data                     ...
Title
Questions?www.sfcta.org/cycletracks
Bike Accessibility: From Inner Sunset      SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY   43
Bike Accessibility: To Inner Sunset      SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY   44
Bike Logsums: From Inner SunsetEffect of Bike Plan Build     SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY   45
Bike Logsums: To Inner SunsetEffect of Bike Plan Build     SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY   46
Completing the Cycle: Incorporating CycleTracks into SF-CHAMP
Completing the Cycle: Incorporating CycleTracks into SF-CHAMP
Completing the Cycle: Incorporating CycleTracks into SF-CHAMP
Completing the Cycle: Incorporating CycleTracks into SF-CHAMP
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Completing the Cycle: Incorporating CycleTracks into SF-CHAMP

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This presentation shows how the data we gathered from the smart phone application, CycleTracks, was used to develop a bicycle route choice model which was then integrated into SF-CHAMP, the San Francisco activity-based travel demand model

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Completing the Cycle: Incorporating CycleTracks into SF-CHAMP

  1. 1. Completing the Cycle: Incorporating CycleTracks into SF-CHAMPUsing technology to understand the needs of cyclistsSAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY Fall 2012
  2. 2. Outline1. Why make CycleTracks?2. What does CycleTracks do?3. Who used CycleTracks and why?4. What data did we get from CycleTracks?5. What did we do with that data?6. Evolution and future of CycleTracks
  3. 3. 1. Why CycleTracks?
  4. 4. Why CycleTracks?Need to prioritize projects, including bike projects.  Estimate a bike choice model that evaluated various bike infrastructure features  Needed bike route choice data on a budget.
  5. 5. 2. What doesCycleTracks do?
  6. 6. Enter personal data (optional)
  7. 7. Enter New Trip
  8. 8. Review Saved Trips
  9. 9. That’s it?Bells and whistles could promote deviation from planned route. Features! Good Data. Flare! Yawn. More users!
  10. 10. 3. Who used CycleTracks and Why? - User Recruitment - Participants
  11. 11. Participants: who gaveus data?
  12. 12. SF Participants: Fall 2009 to Spring 2010 CycleTracks BATS N-366 N=153 z-statAge Mean 34 33 1.1Gender Female 21% 36% -3.5Cycling Frequency Daily 60% Several Times/Week 34% Several Times/Month 7% Less than once a month 0% N/A
  13. 13. 4. What data did we get? - Data Quality - Data Summaries
  14. 14. Data Quality: some good, some bad
  15. 15. Urban Canyon Effect Haight Ashbury vs Downtown
  16. 16. GPS Signal at Beginning of Trip
  17. 17. Not on a Bike
  18. 18. Post Processing Warranted 5,178 traces Gaussian 497 users smoothing Activity & mode detection 3,034 bike Map stages h matching 366 users(Schüssler & Axhausen 2009)
  19. 19. 5. What did wedo with theCycleTracksData?
  20. 20. Matched Route Features to the Chosen Route…
  21. 21. …as well as to a set of routes that were notchosen
  22. 22. What makes us choose one bike route overanother ? Personal Trip Info Features Route Which route Features of was Available Route chosen? Routes Choice Model
  23. 23. Estimation resultsAttribute Coef. SE t-stat. p-val.Length (mi) --1.05 0.09 --11.80 0.00Turns per mile --0.21 0.02 --12.15 0.00Prop. wrong way --13.30 0.67 --19.87 0.00Prop. bike paths 1.89 0.31 6.17 0.00Prop. bike lanes 2.15 0.12 17.69 0.00 Cycling freq. < several per wk. 1.85 0.04 44.94 0.00Prop. bike routes 0.35 0.11 3.14 0.00Avg. up-slope (ft/100ft) --0.50 0.08 --6.35 0.00 Female --0.96 0.22 --4.34 0.00 Commute --0.90 0.11 --8.21 0.00Log(path size) 1.07 0.04 26.38 0.00 2,678 weighted observations, ρ2 = 0.28
  24. 24. Average Marginal Rates of Substitution MRS of Length on Street for Value Units Turns 0.10 mi/turn Total Rise 1.12 mi/100ft Length Wrong Way 4.02 None Length on Bike Paths 0.57 None Length on Bike Lanes 0.49 None Length on Bike Routes 0.92 None SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY 28
  25. 25. Updates to SF-CHAMP Synthesized Core, 3 iterations Population Work Location, Land Use Destination Choice, Mode Choice Tour Generation Networks Networks Logsums +Bike Vars! Tour & Trip Mode ChoiceBike Route Choice Set Road & Transit Non-Motorized Bike Generation & Assignment/Skimming (Distances) Logsums Skimming SkimmingInitial Road & Transit Assignment/ Skimming Final Bicycle Assignment SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY 29
  26. 26. Bike Accessibility: From 4th and King SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY 30
  27. 27. Bike Accessibility: To 4th and King SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY 31
  28. 28. Bike Logsums: From 4th and KingEffect of Bike Plan Build SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY 32
  29. 29. Bike Logsums: To 4th and KingEffect of Bike Plan Build SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY 33
  30. 30. Preliminary Results:Tour Mode Choice Sensitivity Tour Difference Daily Tours v4.1 Harold v4.3 Fury Bike 300 0.1% 1,300 0.9% Walk 300 0.0% 200 0.0% Transit 200 0.0% -900 -0.1% Auto -1,000 -0.0% -600 -0.0% Total -200 -0.0% 0 0.0% SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY 34
  31. 31. Preliminary Results:Trip Mode Choice Sensitivity Trip Difference Daily Tours v4.1 Harold v4.3 Fury Bike 500 0.1% 3,000 0.8% Walk 1,100 0.0% -500 -0.0% Transit 850 0.0% -600 -0.0% Auto -2,400 -0.0% -1,300 -0.0% Total 0 0.0% 600 0.0% SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY 35
  32. 32. SF-CHAMP Predicted Bike Trips Bikes / hour 0 180 20 360SF-CHAMP v4.1 “Harold”
  33. 33. 6. Evolution andFuture ofCycleTracks
  34. 34. All Open Source • GPL3 License • Code on GitHub • Fork us! www.github.com/sfcta
  35. 35. e.g. AggieTrack http://aggietrack.com
  36. 36. CycleTracks Works Everywhere…We already have the database set upAgencies can download “scrubbed” data Austin,TX Monterey Bay, CA …and more!
  37. 37. Title
  38. 38. Questions?www.sfcta.org/cycletracks
  39. 39. Bike Accessibility: From Inner Sunset SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY 43
  40. 40. Bike Accessibility: To Inner Sunset SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY 44
  41. 41. Bike Logsums: From Inner SunsetEffect of Bike Plan Build SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY 45
  42. 42. Bike Logsums: To Inner SunsetEffect of Bike Plan Build SAN FRANCISCO COUNTY TRANSPORTATION AUTHORITY 46

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