lyft in a new era of technology-enabled mobility: implications for policy and planning
TRANSCRIPT
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Lyft in a New Era of Technology-Enabled Mobility !
Implications for Policy and Planning
Emily Castor, Director of Community Relations [email protected] | @emilycastor
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Our infrastructure is impacted
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urbanization populationurbanization
infrastructure
urbanization
energy
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84%
16.5% 1/6 of all U.S. greenhouse gas emissions come from passenger vehicles !Source: EPA, 2012
cars drive emissions
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80% of seats on the road are empty
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a simple vision
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carpooling isn’t new
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but it isn’t mainstream
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why not? carpooling needs to be…
flexible reliable
quick trustworthy
delightful lucrative
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a lot of people won’t use it unless it works…
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…and it won’t work unless a lot of people use it.
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density has to come first
supply and demand density must be present before
on-demand carpooling will work
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so we started by making our own eggs
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so we started by making our own eggs
controlling one side of the equation: driver supply
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drivers are everyday people, given proper incentive
apply
driver must pass strict DMV check,
background check, and vehicle inspection
acceptscreen drive rate
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simple, friendly, and reliable for passengers
request match pay / tip rate
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2.5years since launch
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65cities across the U.S.
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10 million rides given by drivers
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density has to come first
this is what density looks like
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impact how does Lyft affect mobility?
last mile peak shaving
car-free lifestyle underserved
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impact how does Lyft affect mobility?
Lyft hot spots correspond to rail stations
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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
Reliable regardless of socioeconomic profile of area Los Angeles ride acceptance rates by zip code tabulation area (ZCTA)
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density has to come first
what’s next?
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Lyft Line
shared rides along shared routes
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Lyft Line for passengers riding the same way
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Lyft Line how does it work?
affordable high occupancy
social peak times
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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%
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Driver Destination matching drivers with passengers on their way
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carpools make an impact
VMT emissions
traffic parking
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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
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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
how are policymakers responding?
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existing categories don’t fit
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transportation network companies !
coined by CPUC in 2013
TNC
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policy issues for peer-to-peer transportation
what are we? driver vetting
insurance access / equity
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peer-to-peer drivers earning part-time income
32%
68.0%
most Lyft drivers drive fewer than 15 hours per week
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the biggest threat to the future of ridesharing
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is a high barrier to entry for peer-to-peer drivers
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license platforms… not people
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Lyft in a New Era of Technology-Enabled Mobility !
Implications for Policy and Planning
Emily Castor, Director of Community Relations [email protected] | @emilycastor