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The congestion costs of Uber and Lyft

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  • Tarduno, Matthew

Abstract

I study the impact of transportation network companies (TNC) on traffic delays using a natural experiment created by the abrupt departure of Uber and Lyft from Austin, Texas. Applying difference in differences and regression discontinuity specifications to high-frequency traffic data, I estimate that Uber and Lyft together decreased daytime traffic speeds in Austin by roughly 2.3%. Using Austin-specific measures of the value of travel time, I translate these slowdowns to estimates of citywide congestion costs that range from $33 to $52 million annually. Back of the envelope calculations imply that these costs are similar in magnitude to the consumer surplus provided by TNCs in Austin. Together these results suggest that while TNCs may impose modest travel time externalities, restricting or taxing TNC activity is unlikely to generate large net welfare gains through reduced congestion.

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  • Tarduno, Matthew, 2021. "The congestion costs of Uber and Lyft," Journal of Urban Economics, Elsevier, vol. 122(C).
    • Handle: RePEc:eee:juecon:v:122:y:2021:i:c:s0094119020300899
    DOI: 10.1016/j.jue.2020.103318
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    Cited by:

    1. Jinwon Kim & Jucheol Moon & Dongyun Yang, 2024. "Pigouvian Congestion Tolls and the Welfare Gain: Estimates for California Freeways," Working Papers 2402, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    2. Jindong Pang & Shulin Shen, 2023. "Do ridesharing services cause traffic congestion?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(2), pages 520-552, May.
    3. Vignon, Daniel & Yin, Yafeng & Ke, Jintao, 2023. "Regulating the ride-hailing market in the age of uberization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    4. Wang, Yiyuan & Shen, Qing, 2023. "An economic analysis of incorporating new shared mobility into public transportation provision," Transport Policy, Elsevier, vol. 141(C), pages 263-273.
    5. Jinwon Kim & Jucheol Moon, 2022. "Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data," Working Papers 2201, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    6. Yuan Liang & Bingjie Yu & Xiaojian Zhang & Yi Lu & Linchuan Yang, 2022. "The Short-term Impact of Congestion Taxes on Ridesourcing Demand and Traffic Congestion: Evidence from Chicago," Papers 2207.01793, arXiv.org, revised Feb 2023.
    7. Orozco-Fontalvo, Mauricio & Soares Lopes, André & Vale, David & Moura, Filipe, 2024. "IMPReSS: A comprehensive method to classify MaaS systems," Transport Policy, Elsevier, vol. 155(C), pages 234-241.
    8. Li, Shanjun & Wang, Binglin & Zhou, Hui, 2024. "Decarbonizing passenger transportation in developing countries: Lessons and perspectives1," Regional Science and Urban Economics, Elsevier, vol. 107(C).
    9. Yoshifumi Konishi & Akari Ono, 2024. "Is Ride-sharing Good for Environment?," Keio-IES Discussion Paper Series 2024-014, Institute for Economics Studies, Keio University.
    10. Mosquera, Roberto, 2024. "Stuck in traffic: Measuring congestion externalities with negative supply shocks," Regional Science and Urban Economics, Elsevier, vol. 108(C).
    11. Liang, Yuan & Yu, Bingjie & Zhang, Xiaojian & Lu, Yi & Yang, Linchuan, 2023. "The short-term impact of congestion taxes on ridesourcing demand and traffic congestion: Evidence from Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
    12. Wang, Sicheng & Du, Rui & Lee, Annie S., 2024. "Ridesourcing regulation and traffic speeds: A New York case," Journal of Transport Geography, Elsevier, vol. 116(C).
    13. Shr, Yau-Huo & Chang, Hung-Hao, 2024. "The effects of participating in digital ride-hailing on taxi drivers’ business operations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    14. Conor Lennon & Johanna Catherine Maclean & Keith F. Teltser, 2024. "Ridesharing and Substance Use Disorder Treatment," NBER Working Papers 33077, National Bureau of Economic Research, Inc.

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