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Do ride-hailing congestion fees in NYC work?

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  • Li, Yanchao
  • Vignon, Daniel

Abstract

What is the impact of congestion policies targeting ride-hailing systems? This work empirically evaluates NYC’s congestion surcharge policy, particularly in light of the city’s forthcoming implementation of congestion pricing. Using a Difference-in-Differences (DiD) framework, our analysis reveals a statistically significant reduction of approximately 11% in overall ride-hailing travel volume following the implementation of the policy. In particular, Lyft experienced a 17% reduction in travel demand while Uber and yellow-cabs experienced reductions of about 9% and 8% respectively. We further elucidate two key mechanisms — travel distance and subway station availability — to explain this reduction. The surcharge policy has a more pronounced impact on shorter trips (with the most significant decline observed in trips less than one mile), and on ride-hailing trips originating from areas with at least one substitute (such as subway or Citi Bike). Furthermore,the policy’s effect seems more pronounced in lower-income areas of the city and seems to reduce street-hailing industry revenues by 8%. However, despite these reductions, the policy does not result in a corresponding decrease in traffic congestion. Thus, it seems that the policy results in a net welfare loss for the city, at least in the shorter term. Our findings provide insights for understanding the dynamics of congestion policies focused on the ride-hailing industry, especially as New York City prepares to introduce congestion pricing.

Suggested Citation

  • Li, Yanchao & Vignon, Daniel, 2024. "Do ride-hailing congestion fees in NYC work?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 190(C).
  • Handle: RePEc:eee:transa:v:190:y:2024:i:c:s0965856424003227
    DOI: 10.1016/j.tra.2024.104274
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    1. Nicholas Buchholz, 2022. "Spatial Equilibrium, Search Frictions, and Dynamic Efficiency in the Taxi Industry," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(2), pages 556-591.
    2. Xu, Zhengtian & Yin, Yafeng & Ye, Jieping, 2020. "On the supply curve of ride-hailing systems," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 29-43.
    3. Mi Diao & Hui Kong & Jinhua Zhao, 2021. "Impacts of transportation network companies on urban mobility," Nature Sustainability, Nature, vol. 4(6), pages 494-500, June.
    4. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    5. Clewlow, Regina R. & Mishra, Gouri S., 2017. "Disruptive Transportation: The Adoption, Utilization, and Impacts of Ride-Hailing in the United States," Institute of Transportation Studies, Working Paper Series qt82w2z91j, Institute of Transportation Studies, UC Davis.
    6. Schaller, Bruce, 2007. "Entry controls in taxi regulation: Implications of US and Canadian experience for taxi regulation and deregulation," Transport Policy, Elsevier, vol. 14(6), pages 490-506, November.
    7. Rayle, Lisa & Dai, Danielle & Chan, Nelson & Cervero, Robert & Shaheen, Susan PhD, 2016. "Just A Better Taxi? A Survey-Based Comparison of Taxis, Transit, and Ridesourcing Services in San Francisco," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt60v8r346, Institute of Transportation Studies, UC Berkeley.
    8. Beesley, Michael E, 1973. "Regulation of Taxis," Economic Journal, Royal Economic Society, vol. 83(329), pages 150-172, March.
    9. Wong, R.C.P. & Szeto, W.Y., 2022. "The effects of peak hour and congested area taxi surcharges on customers’ travel decisions: Empirical evidence and policy implications," Transport Policy, Elsevier, vol. 121(C), pages 78-89.
    10. Hall, Jonathan D. & Palsson, Craig & Price, Joseph, 2018. "Is Uber a substitute or complement for public transit?," Journal of Urban Economics, Elsevier, vol. 108(C), pages 36-50.
    11. Xavier Fageda, 2021. "Measuring the impact of ride‐hailing firms on urban congestion: The case of Uber in Europe," Papers in Regional Science, Wiley Blackwell, vol. 100(5), pages 1230-1253, October.
    12. Sen Li & Kameshwar Poolla & Pravin Varaiya, 2020. "Impact of Congestion Charge and Minimum Wage on TNCs: A Case Study for San Francisco," Papers 2003.02550, arXiv.org, revised Feb 2021.
    13. Tarduno, Matthew, 2021. "The congestion costs of Uber and Lyft," Journal of Urban Economics, Elsevier, vol. 122(C).
    14. 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.
    15. Zheng, Yunhan & Meredith-Karam, Patrick & Stewart, Anson & Kong, Hui & Zhao, Jinhua, 2023. "Impacts of congestion pricing on ride-hailing ridership: Evidence from Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    16. 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).
    17. 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).
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