Journal article
Fusing Multiple Sources of Data to Understand Ride-Hailing Use
Felipe F Dias, Patricia S Lavieri, Taehooie Kim, Chandra R Bhat, Ram M Pendyala
Transportation Research Record | SAGE Publications | Published : 2019
Abstract
The rise of ride-hailing services has presented a number of challenges and opportunities in the urban mobility sphere. On the one hand, they allow travelers to summon and pay for a ride through their smartphones while tracking the vehicle’s location. This helps provide mobility for many who are traditionally transportation disadvantaged and not well served by public transit. Given the convenience and pricing of these mobility-on-demand services, their tremendous growth in the past few years is not at all surprising. However, this growth comes with the risk of increased vehicular travel and reduced public transit use, increased congestion, and shifts in mobility patterns which are difficult t..
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Awarded by Center for Teaching Old Models New Tricks (TOMNET) - U.S. Department of Transportation
Awarded by Data-Supported Transportation Operations and Planning (D-STOP) Center - U.S. Department of Transportation
Funding Acknowledgements
The authors thank RideAustin for publicly sharing their data. This research was partially supported by the Center for Teaching Old Models New Tricks (TOMNET) (Grant No. 69A3551747116) as well as the Data-Supported Transportation Operations and Planning (D-STOP) Center (Grant No. DTRT13GUTC58), both of which are Tier 1 University Transportation Centers sponsored by the U.S. Department of Transportation. The second author acknowledges funding support from CAPES and the Brazilian government. The authors are grateful to Lisa Macias for her help in formatting this document, and to four anonymous referees who provided useful comments on an earlier version of the paper.