APTA Annual Meeting re Uber and Transit Friends, Foes, or Both?

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Transcription:

APTA Annual Meeting re Uber and Transit Friends, Foes, or Both? September 29 th, 2016 Sharon Feigon EXECUTIVE DIRECTOR

SHARED-USE MOBILITY CENTER Make it possible to live well without owning your own car Connect public agencies and transit, community and private sectors to scale benefits of shared mobility for all Conduct innovative research with practical results Create tools for cities to share policies and best practices Provide technical assistance for cities in testing and scaling shareduse programs

What is shared-use mobility & why is it important?

Shared Mobility Typology

Shared Mobility in the U.S. and Canada Shuttles 2016

Why Do We Need Shared Mobility? Serves non-work trips (80% of total trips) Fills gaps in transit, especially weekend + night-time service Provides connections between transit & origin/destination (First and Last Mile) Can be implemented quickly Relatively inexpensive in terms of public investment required (public-private models flourishing)

New Research TCRP Report 188 Shared Mobility and the Transformation of Public Transit

TCRP Report 188 Project Overview Objectives Improve understanding of new tech-enabled mobility services Lessons for transit agencies from new mobility services Identify opportunities & challenges Cities: Austin, Boston, Chicago, LA, Seattle, San Francisco, Washington DC

Key Finding: The more people use shared modes, the more likely they are to use transit, own fewer cars, and spend less on transportation overall.

Supersharers, people who routinely use several shared modes, report the greatest transportation cost savings and own half as many cars as people who use transit alone.

Ridesourcing vs Transit: Travel Time Tradeoffs

Key Finding: Ridesourcing Commute Patterns Relatively few people (21% of respondents) use ridesourcing to commute and those who do, do so occasionally, mostly one way trips. Almost 40% say their last ride was on a Bus or train in the Last day.

Key Finding: Shared modes largely complement public transit, enhancing urban mobility Ridesourcing services are most frequently used for social trips between 10 p.m. and 4 a.m., when transit runs infrequently or is unavailable

Emerging partnerships between Uber/Lyft and Transit for Pinellas Suncoast, FL: Allow for Transit riders to connect to Uber rides and taxis for subsidized cost Centennial, CO: Free Lyft rides within Call-n-Ride RTD Service area to light rail station, paid for by transit agency Dallas, TX and Atlanta, GA: Last-mile handoff to TNC apps (including initial coupon) from within agencies mobile apps First/Last Mile

Emerging partnerships between Ridesourcing and Transit for Examples: Lyft partnership with California MTC (511 Rideshare) for carpooling service Uber dynamic carpooling program in King County Metro Seattle Google and Waze carpooling in San Francisco Carpooling

Emerging partnerships between Ridesourcing and Transit for Paratransit Gainesville, FL: Subsidizing Uber for seniors, providing call-in concierge service Santa Monica, CA: Lyft partnership with Ride N Care to give healthcare facilities, seniors, medical patients and their families greater flexibility in scheduling rides San Francisco, CA: National Medtrans Network partnered with Lyft in pilot to provide non-medical emergency trips for seniors and people with disabilities

Emerging partnerships between Ridesourcing and Transit for Employer-Based Programs Employers using ride-hailing technology for work trips- individuals matched with Uber/Lyft, employer matches with SPLT, Ride.com Emergency Ride Home programs becoming a common partnership

How do we make this work for all communities?

Conclusions to build on mobility innovations Change performance metrics to make efficient mobility the goal. Keep information open and widely available for the broadest benefit. Lay the groundwork for strong public-private partnerships and targeted investments in the mobility system, including public transit and shared modes.

TCRP Phase II Coming Soon: Origin and Destination Data from Ridesourcing Companies More Survey data Additional Travel time and Cost Analysis Greater depth of analysis for individual cities

Thank you Sharon Feigon sharon@sharedusemobilitycenter.