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 emily@lyft.com | @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

Questions?

Emily Castor, Director of Community Relations

emily@lyft.com | @emilycastor

Lyft in a New Era of Technology-Enabled Mobility !

Implications for Policy and Planning

Emily Castor, Director of Community Relations emily@lyft.com | @emilycastor