Scale effects in ridesplitting: A case study of the City of Chicago
Scale effects in ridesplitting: A case study of the City of Chicago
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DOI：
10.1016/j.tra.2023.103690
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发表时间：
2023-03
期刊：
影响因子：
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通讯作者：
Hao Liu;Saipraneeth Devunuri;Lewis J. Lehe;V. Gayah
中科院分区：
文献类型：
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作者：
Hao Liu;Saipraneeth Devunuri;Lewis J. Lehe;V. Gayah
拼车--一种乘客与其他乘客共享车辆的叫车方式--已成为一些主要城市的常见出行方式。这种类型的共享乘车选项目前由Uber、Lyft和Via等交通网络公司（跨国公司）提供，并吸引了越来越多的用户，特别是在COVID-19大流行之前。此前的研究结果表明，拼车可以降低出行成本，甚至通过减少运送人员所需的车辆数量来减轻拥堵。最近的研究还认为，拼车应该经历积极的反馈机制，其中服务质量将随着用户数量的增加而提高。具体而言，这些系统应受益于规模经济和规模收益递增。本文使用跨国公司在2019年1月至9月期间向芝加哥市报告的旅行数据来证明它们的存在。具体而言，它表明，在给定的时间段内，请求或授权共享行程的乘客数量的增加与更短的行程弯路、更高的乘客匹配率、相对于非共享行程的更低成本以及乘客共享行程的更高意愿相关。
Ridesplitting – a type of ride-hailing in which riders share vehicles with other riders – has become a common travel mode in some major cities. This type of shared ride option is currently provided by transportation network companies (TNCs) such as Uber, Lyft, and Via and has attracted increasing numbers of users, particularly before the COVID-19 pandemic. Previous findings have suggested ridesplitting can lower travel costs and even lessen congestion by reducing the number of vehicles needed to move people. Recent studies have also posited that ridesplitting should experience positive feedback mechanisms in which the quality of the service would improve with the number of users. Specifically, these systems should benefit from economies of scale and increasing returns to scale. This paper demonstrates evidence of their existence using trip data reported by TNCs to the City of Chicago between January and September 2019. Specifically, it shows that increases in the number of riders requesting or authorizing shared trips during a given time period is associated with shorter trip detours, higher rates of riders being matched together, lower costs relative to non-shared trips, and higher willingness for riders to share trips.