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Lyft in a New Era of Technology-Enabled Mobility: Implications for Policy and Planning

Over the last two and a half years, Lyft has achieved mass adoption extremely quickly, heralding a new era of consumer transportation behavior based on smartphones and “access over ownership.” Now, as Lyft begins to mature, it is reaching the density necessary to achieve real-time dynamic carpooling, with major implications for congestion reduction and environmental benefit.

This presentation provides insight into the development of this new industry, how it will impact mobility and consumer behavior, and the implications for transportation planners and policymakers as Lyft continues to evolve.

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Lyft in a New Era of Technology-Enabled Mobility: Implications for Policy and Planning

  1. 1. Lyft in a New Era of Technology-Enabled Mobility ! Implications for Policy and Planning Emily Castor, Director of Community Relations emily@lyft.com | @emilycastor
  2. 2. Our infrastructure is impacted
  3. 3. urbanization population infrastructure energy
  4. 4. 84% 16.5% 1/6 of all U.S. greenhouse gas emissions come from passenger vehicles ! Source: EPA, 2012 cars drive emissions
  5. 5. 80%of seats on the road are empty
  6. 6. a simple vision
  7. 7. carpooling isn’t new
  8. 8. but it isn’t mainstream
  9. 9. why not? carpooling needs to be… flexible reliable quick trustworthy delightful lucrative
  10. 10. a lot of people won’t use it unless it works…
  11. 11. …and it won’t work unless a lot of people use it.
  12. 12. density has to come first supply and demand density must be present before on-demand carpooling will work
  13. 13. so we started by making our own eggs
  14. 14. so controlling we started one side by of making the equation: our driver own eggs supply
  15. 15. drivers are everyday people, given proper incentive apply driver must pass strict DMV check, background check, and vehicle inspection screen accept drive rate
  16. 16. simple, friendly, and reliable for passengers request match pay / tip rate
  17. 17. 2.5years since launch
  18. 18. 65cities across the U.S.
  19. 19. 10million rides given by drivers
  20. 20. density has to come first this is what density looks like
  21. 21. impact how does Lyft affect mobility? last mile peak shaving car-free lifestyle underserved
  22. 22. impact how does Lyft affect mobility? Lyft hot spots correspond to rail stations
  23. 23. Reliable regardless of socioeconomic profile of area Los Angeles ride acceptance rates by zip code tabulation area (ZCTA) Average Acceptance Rate - Citywide 92.09% ZCTA with highest acceptance rate 97.35% Hollywood ZCTA with lowest acceptance rate 66.15% Tujunga Acceptance rate in ZCTA with largest population 91.22% Southeast Los Angeles Acceptance rate in ZCTA with smallest population 95.62% Century City Acceptance rate in ZCTA with most % of population below poverty 95.73% Downtown West Acceptance rate in ZCTA with least % of population below poverty 85.29% Bel Air Estates/Beverly Glen Acceptance rate in ZCTA with largest population below poverty 91.22% Southeast Los Angeles Acceptance rate in ZCTA with smallest population below poverty 85.29% Bel Air Estates/Beverly Glen
  24. 24. density has to come first what’s next?
  25. 25. Lyft Line shared rides along shared routes
  26. 26. Lyft Line for passengers riding the same way
  27. 27. Lyft Line how does it work? affordable high occupancy social peak times
  28. 28. impact how does Lyft affect mobility? 3 months in: 1/3 of Lyft rides are Line rides !Pilot results from San Francisco 67% 33.3%
  29. 29. Driver Destination matching drivers with passengers on their way
  30. 30. carpools make an impact VMT emissions traffic parking
  31. 31. Lyft for Work a new tool for TDM 1 2 3 employers offer Lyft credits as an employee benefit credits can be restricted to last mile, Line carpools, etc. promote employee carpools, reduce parking demand
  32. 32. Lyft for Work a new tool for TDM 1 2 3 how are policymakers responding? employers offer Lyft credits as an employee benefit credits can be restricted to last mile, Line carpools, etc. promote employee carpools, reduce parking demand
  33. 33. existing categories don’t fit
  34. 34. transportation network companies ! coined by CPUC in 2013 TNC
  35. 35. policy issues for peer-to-peer transportation what are we? driver vetting insurance access / equity
  36. 36. peer-to-peer drivers earning part-time income 32% 68.0% most Lyft drivers drive fewer than 15 hours per week
  37. 37. the biggest threat to the future of ridesharing
  38. 38. is a high barrier to entry for peer-to-peer drivers
  39. 39. license platforms… not people
  40. 40. Questions? Emily Castor, Director of Community Relations emily@lyft.com | @emilycastor
  41. 41. Lyft in a New Era of Technology-Enabled Mobility ! Implications for Policy and Planning Emily Castor, Director of Community Relations emily@lyft.com | @emilycastor

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