Lyft in a New Era of Technology-Enabled Mobility: Implications for Policy and Planning
-
Upload
emily-castor -
Category
Technology
-
view
571 -
download
0
Transcript of Lyft in a New Era of Technology-Enabled Mobility: Implications for Policy and Planning
Lyft in a New Era of Technology-Enabled Mobility !
Implications for Policy and Planning
Emily Castor, Director of Community Relations [email protected] | @emilycastor
Our infrastructure is impacted
urbanization populationurbanization
infrastructure
urbanization
energy
84%
16.5% 1/6 of all U.S. greenhouse gas emissions come from passenger vehicles !Source: EPA, 2012
cars drive emissions
80% of seats on the road are empty
a simple vision
carpooling isn’t new
but it isn’t mainstream
why not? carpooling needs to be…
flexible reliable
quick trustworthy
delightful lucrative
a lot of people won’t use it unless it works…
…and it won’t work unless a lot of people use it.
density has to come first
supply and demand density must be present before
on-demand carpooling will work
so we started by making our own eggs
so we started by making our own eggs
controlling one side of the equation: driver supply
drivers are everyday people, given proper incentive
apply
driver must pass strict DMV check,
background check, and vehicle inspection
acceptscreen drive rate
simple, friendly, and reliable for passengers
request match pay / tip rate
2.5years since launch
65cities across the U.S.
10 million rides given by drivers
density has to come first
this is what density looks like
impact how does Lyft affect mobility?
last mile peak shaving
car-free lifestyle underserved
impact how does Lyft affect mobility?
Lyft hot spots correspond to rail stations
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)
density has to come first
what’s next?
Lyft Line
shared rides along shared routes
Lyft Line for passengers riding the same way
Lyft Line how does it work?
affordable high occupancy
social peak times
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%
Driver Destination matching drivers with passengers on their way
carpools make an impact
VMT emissions
traffic parking
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
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?
existing categories don’t fit
transportation network companies !
coined by CPUC in 2013
TNC
policy issues for peer-to-peer transportation
what are we? driver vetting
insurance access / equity
peer-to-peer drivers earning part-time income
32%
68.0%
most Lyft drivers drive fewer than 15 hours per week
the biggest threat to the future of ridesharing
is a high barrier to entry for peer-to-peer drivers
license platforms… not people
Lyft in a New Era of Technology-Enabled Mobility !
Implications for Policy and Planning
Emily Castor, Director of Community Relations [email protected] | @emilycastor