Shared Mobility: Past, Present, and Future. Susan Shaheen, PhD Twitter: SusanShaheen1 LinkedIn: Susan Shaheen

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Shared Mobility: Past, Present, and Future Susan Shaheen, PhD Email: sshaheen@berkeley.edu Twitter: SusanShaheen1 LinkedIn: Susan Shaheen

Presentation Overview Shared Mobility Ecosystem Current Trends and Impacts Convergence SECA Opportunities and Challenges SECA Research and Methods Concluding Thoughts Acknowledgments

The Sharing Economy Owang, 2016

Shared Mobility UC Berkeley, UC 2016 2015

Shared Mobility Ecosystem Shaheen et al., 2016

USDOT Primers Shaheen et al., 2016

1,800,000 1,600,000 1,400,000 1,200,000 N. American Carsharing Longitudinal Trends 30,000 25,000 20,000 Members 1,000,000 800,000 600,000 400,000 200,000 0 2006 2008 2010 2012 2014 Members 117,656 318,898 516,100 908,584 1,625,652 Vehicles 3,337 7,505 10,420 15,795 24,210 15,000 10,000 5,000 0 Vehicles Shaheen and Cohen, 2015

Recent Study of One-Way Free- Floating Carsharing Methodology: Online survey from ~9,500 North American car2go members residing in Calgary; San Diego; Seattle; Vancouver; and Washington, D.C. Activity data analysis Martin and Shaheen, 2016

Recent Study of One-Way Carsharing Key Findings: Between 2% to 5% of members sold a vehicle due to carsharing across study cities 7% to 10% of respondents did not acquire a vehicle due to car2go Car2go took estimated 28,000-plus vehicles off of road and reduced parking demand Average age of vehicles sold ranged between 12 and 15.7 years across the five cities; entire sample of sold vehicles had an average age of 14.4 years across all cities Martin and Shaheen, 2016

Recent Study of Zipcar s College/University Market: Fall 2016 Survey design conducted as joint effort among TSRC UC Berkeley, Zipcar, and university representatives November 2015: online survey distributed via email by Zipcar to all North American Zipcar members 534 North American universities. 31 universities in Canada and 503 in the U.S. 27,781 respondents completed the survey 10,040 complete responses by current college/university students, staff, or faculty Stocker et al., 2016

Recent Study of Zipcar s College/University Market: Impacts n=~10,000 Stocker et al., 2016

Impact on Vehicle Miles Traveled (VMT) and Greenhouse Gas (GHG) Emissions VMT reduction ranges from -1% to -5% GHG reduction ranges from -0.1% to -2.6% VMT reductions are greatest in urban landuse contexts Members of Southern and Canadian campuses have the greatest VMT reductions Stocker et al., 2016

Worldwide and US Bikesharing: April 2016 Worldwide: 1,019 cities with ITbased operating systems 1,324,530 bikes 1,060,850 bikes in China (and 390 cities) U.S.: 99 cities with IT-based systems (61 programs) ~32,200 bikes 3,400 stations In 2016, so far, 24 new programs began operating in world: 13 in China and 5 in US Meddin, 2016

Traditional Ridesharing Grouping of travelers into common trips by private auto/van (e.g., carpooling and vanpooling) Historically, differs from ridesourcing in financial motivation and trip origin/destination 662 ridematching services in the U.S. and Canada (24 span both countries) 612 programs offer carpooling 153 programs offer vanpooling 127 programs offered carpooling and vanpooling Chan and Shaheen, 2011

Ridesourcing Service Locations (July 2015) 175 metro areas Cohen and Shaheen, 2016

Impacts of Ridesourcing in San Francisco: 2014 n=380 Rayle et al., 2016 16

Microtransit Examples Fixed routes and fixed scheduling Chariot, San Francisco Flexible routes and on-demand scheduling Bridj: Austin, Boston, Kansas City, DC Ride KC: Bridj first public-private partnership among shared mobility company, automaker, and transit agency Via: New York City UC Berkeley, 2016

Courier Network Services For-hire delivery services using an online platform to connect couriers using personal vehicles with freight (e.g., packages, food) P2P Delivery Services: Drivers use their own private vehicle or bike to conduct deliveries Postmates, Instacart, Shipbird, etc. Paired On-Demand Passenger Ride and Courier Services: Dual ride services + package deliveries

Convergence Electrification Mobile Technologies SECA T. Papandreou, 2016 Shared Mobility Automation

Levels of Automation Mike Lemanski, 2016

Planned Pilots: Level 4-5 Automation and Shared Mobility No large-scale SAV deployments with full automation, at present Many companies beginning to discuss shared fully automated fleets Notable Developments: Lyft received a $500 million investment from GM in Jan 2016 Uber testing in Pittsburgh New Tesla vehicles will be equipped with fully self-driving hardware (announced Oct 2016) Ford, GM, Fiat Chrysler, BMW, Daimler, Volvo, and others making strategic investments to transition to a mobility provider away from sole focus on auto manufacturing USDOT selects Columbus, OH as the winner of the Smart City Challenge in June 2016

SECA Potential Benefits Reduce GHG emissions and improve safety Increase capacity (smaller vehicles, closer spacing, shared rides, etc.) Increased auto sales (higher fleet turnover from increased vehicle use) Reduce per mile cost (over privately-owned vehicles) Opportunity to add density through redevelopment Downsize number of privately-owned vehicles

SECA Potential Challenges Higher upfront vehicle costs Increased VMT (due to lower costs, increased use, modal shift away from public transit, longer commutes, roaming AVs, etc.) Will people give up private ownership?

SECA Research and Methods Most studies develop or modify existing travel behavior models with differing assumptions about operations and vehicle type Some document prior demographic trends and forecast future projections based on expert guidance Other studies survey potential users to develop projected impacts Many studies include an array of scenarios such as: no AV sharing (privately owned), shared fleet (without pooling), shared fleet (with pooling) Numerous studies predict modal shift away from privately owned vehicles, under specific sharing scenarios Future impact on VMT and congestion uncertain due to a range of possible effects

Concluding Thoughts AVs, if shared, will begin to blur the lines between public and private transportation options SECA could help achieve efficient and affordable public transportation that improves access to jobs and healthcare Deployment opportunities for SECA in first/last mile connections, underserved populations, and areas lacking quality public transit service Cities and sites are different, so SECA deployments need to be tailored to varying technical, social, and legal contexts Pilot programs, enabled by public-private partnerships, could encourage private shared services to adapt and expand functionality to meet the needs of public transit users More research and informed policy needed

Acknowledgements Nelson Chan, Adam Cohen, Adam Stocker, Elliot Martin, and Rachel Finson, TSRC, UC Berkeley Caltrans, FHWA Special thanks to the worldwide shared mobility operators and experts who make our research possible Susan Shaheen, PhD Email: sshaheen@berkeley.edu Twitter: SusanShaheen1 LinkedIn: Susan Shaheen