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Unintended Consequences of Automated Vehicles and Pooling for Urban Transportation Systems

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  • Sergey Naumov
  • David R. Keith
  • Charles H. Fine

Abstract

Automated vehicles (AVs) have emerged rapidly in recent years, becoming a focus of high expectations and heated debates. Advocates argue that the arrival of AVs will make driving safer, greener, cheaper, and faster, bringing ubiquitous access to transportation while significantly reducing traffic congestion and environmental impacts. Skeptics, in contrast, suggest that the appeal of AVs will induce additional driving, offsetting or even overwhelming the positive effects of increased automation. Many analysts now believe that the solution lies in ensuring that most vehicle trips are shared to serve the same number of passenger miles with fewer vehicle miles, reducing traffic congestion. However, these analyses fail to recognize that reducing congestion will induce yet more demand for driving and attract riders from other transportation modes including public transit, which is already experiencing falling ridership in many cities. In this study, we explore the impact of AVs and pooling on consumer mode choice and the effect on the performance of both road and public transit systems. We show that the well‐intentioned move to promote pooling may have the unintended consequence of triggering a public transit death spiral, leading to both worse public transit quality and more rather than less traffic congestion. We argue that the deployment of AVs and pooling can be effective at accelerating the transition to sustainable urban mobility, but only when accompanied by policies that make driving less attractive, not more.

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  • Sergey Naumov & David R. Keith & Charles H. Fine, 2020. "Unintended Consequences of Automated Vehicles and Pooling for Urban Transportation Systems," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1354-1371, May.
  • Handle: RePEc:bla:popmgt:v:29:y:2020:i:5:p:1354-1371
    DOI: 10.1111/poms.13166
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    8. Hao, Wu & Martin, Layla, 2022. "Prohibiting cherry-picking: Regulating vehicle sharing services who determine fleet and service structure," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    9. Yang Pan & Liangfei Qiu, 2022. "How Ride‐Sharing Is Shaping Public Transit System: A Counterfactual Estimator Approach," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 906-927, March.
    10. Rubén Michael Rodríguez‐González & Gonzalo Maldonado‐Guzman & Antonia Madrid‐Guijarro, 2022. "The effect of green strategies and eco‐innovation on Mexican automotive industry sustainable and financial performance: Sustainable supply chains as a mediating variable," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(4), pages 779-794, July.
    11. Gökçe Esenduran & John V. Gray & Burcu Tan, 2022. "A Dynamic Analysis of Supply Chain Risk Management and Extended Payment Terms," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1394-1417, March.
    12. Sergey Naumov & David Keith, 2023. "Optimizing the economic and environmental benefits of ride‐hailing and pooling," Production and Operations Management, Production and Operations Management Society, vol. 32(3), pages 904-929, March.
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    14. Swain, Ritwik & Truelove, Verity & Rakotonirainy, Andry & Kaye, Sherrie-Anne, 2023. "A comparison of the views of experts and the public on automated vehicles technologies and societal implications," Technology in Society, Elsevier, vol. 74(C).

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