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Can sharing a ride make for less traffic? Evidence from Uber and Lyft and implications for cities

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  • Schaller, Bruce

Abstract

The popularity of Uber and Lyft and advances in autonomous vehicle technology have spurred public interest in the potential of shared ride services to reduce traffic congestion, vehicle emissions and space devoted to parking. However, research has shown that long waiting times, circuitous routes and privacy concerns might lead most patrons to choose exclusive-ride services over shared services (ride-hail or autonomous), thus increasing rather than decreasing vehicle mileage.

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  • Schaller, Bruce, 2021. "Can sharing a ride make for less traffic? Evidence from Uber and Lyft and implications for cities," Transport Policy, Elsevier, vol. 102(C), pages 1-10.
    • Handle: RePEc:eee:trapol:v:102:y:2021:i:c:p:1-10
    DOI: 10.1016/j.tranpol.2020.12.015
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    References listed on IDEAS

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    3. Wenyuan Zhou & Xuanrong Li & Zhenguo Shi & Bingjie Yang & Dongxu Chen, 2023. "Impact of Carpooling under Mobile Internet on Travel Mode Choices and Urban Traffic Volume: The Case of China," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    4. Jason Soria & Shelly Etzioni & Yoram Shiftan & Amanda Stathopoulos & Eran Ben-Elia, 2022. "Microtransit adoption in the wake of the COVID-19 pandemic: evidence from a choice experiment with transit and car commuters," Papers 2204.01974, arXiv.org.
    5. Paolo Delle Site & André de Palma & Samarth Ghoslya, 2021. "Social optimality and stability of matchings in peer-to-peer ridesharing," THEMA Working Papers 2021-17, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    6. Gödde, Jan & Ruhrort, Lisa & Allert, Viktoria & Scheiner, Joachim, 2023. "User characteristics and spatial correlates of ride-pooling demand – Evidence from Berlin and Munich," Journal of Transport Geography, Elsevier, vol. 109(C).
    7. Zhang, Kenan & Nie, Yu (Marco), 2022. "Mitigating traffic congestion induced by transportation network companies: A policy analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 96-118.
    8. André de Palma & Lucas Javaudin & Patrick Stokkink & Léandre Tarpin-Pitre, 2022. "Ride-sharing with inflexible drivers in the Paris metropolitan area," Post-Print hal-03880692, HAL.
    9. Julio César dos Santos & Paulo Ribeiro & Ricardo Jorge Silva Bento, 2023. "A Review of the Promotion of Sustainable Mobility of Workers by Industries," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    10. Liu, Hao & Devunuri, Saipraneeth & Lehe, Lewis & Gayah, Vikash V., 2023. "Scale effects in ridesplitting: A case study of the City of Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    11. Zhang, Zhaolin & Zhai, Guocong & Xie, Kun & Xiao, Feng, 2022. "Exploring the nonlinear effects of ridesharing on public transit usage: A case study of San Diego," Journal of Transport Geography, Elsevier, vol. 104(C).
    12. Tian, Guang & Ewing, Reid & Li, Han, 2023. "Exploring the influences of ride-hailing services on VMT and transit usage – Evidence from California," Journal of Transport Geography, Elsevier, vol. 110(C).
    13. Loa, Patrick & Ong, Felita & Hawkins, Jason & Nurul Habib, Khandker, 2023. "Unravelling the relationship between ride-sourcing services and conventional modes in the city of Toronto: A stated preference study," Transport Policy, Elsevier, vol. 141(C), pages 209-220.
    14. Ho, Shirley J. & Chang, Hung-Wei, 2022. "Impacts of sharing business on production, sales, and rental markets," International Journal of Production Economics, Elsevier, vol. 248(C).
    15. Fulman, Nir & Marinov, Maria & Benenson, Itzhak, 2023. "Investigating occasional travel patterns based on smartcard transactions," Transport Policy, Elsevier, vol. 141(C), pages 152-166.
    16. Steven E. Shladover, 2022. "Opportunities, Challenges, and Uncertainties in Urban Road Transport Automation," Sustainability, MDPI, vol. 14(3), pages 1-19, February.
    17. André de Palma & Lucas Javaudin & Patrick Stokkink & Léandre Tarpin-Pitre, 2021. "Modelling Ridesharing in a Large Network with Dynamic Congestion," THEMA Working Papers 2021-16, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    18. Loa, Patrick & Hossain, Sanjana & Liu, Yicong & Nurul Habib, Khandker, 2022. "How has the COVID-19 pandemic affected the use of ride-sourcing services? An empirical evidence-based investigation for the Greater Toronto Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 46-62.

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