Correlates of Modal Substitution and Induced Travel of Ridehailing in California

James Giller, Mischa Young, Giovanni Circella
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Abstract

The availability of ridehailing services, such as Uber and Lyft, affects the way people choose to travel and can enable travel opportunities that were previously suppressed, leading to additional trips. Previous studies have investigated the modal substitution and induced travel caused by ridehailing, yet few have investigated the factors associated with these travel behaviors. Accordingly, this study examines the personal and trip characteristics associated with ridehailing users’ decisions to substitute other modes of travel or conduct new trips by ridehailing. Using detailed survey data collected in three California metropolitan regions from 2018 and 2019, we estimated an error components logit model of ridehailing users’ choice of an alternative travel option if ridehailing services were unavailable. We found that over 50% of ridehailing trips in our sample were replacing more sustainable modes (i.e., public transit, active modes, and carpooling) or were creating new vehicle miles, with a 5.8% rate of induced travel, with public transit being the most frequently substituted mode. Respondents without a household vehicle and who use pooled services were more likely to replace transit. Longer-distance ridehailing trips were less likely to replace walking, biking, or transit trips. Respondents identifying as a racial or ethnic minority or lacking a household vehicle were least likely to cancel a trip were ridehailing unavailable, suggesting their use of ridehailing for essential rather than discretionary purposes. Together, these findings provide valuable insights for policy makers seeking to address the environmental and equity issues associated with ridehailing.
加利福尼亚州乘车旅行的模式替代和诱导旅行的相关因素
Uber 和 Lyft 等叫车服务的出现,影响了人们选择出行的方式,并使以前被压抑的出行机会得以实现,从而导致额外的出行。以往的研究已经调查了打车服务导致的出行方式替代和诱导性出行,但很少有研究调查与这些出行行为相关的因素。因此,本研究探讨了与顺风车用户决定使用顺风车替代其他出行方式或进行新出行相关的个人和出行特征。利用 2018 年和 2019 年在加利福尼亚州三个大都市地区收集的详细调查数据,我们估算了一个误差分量对数模型,用于计算在无法使用顺风车服务的情况下,顺风车用户选择其他出行方式的情况。我们发现,在我们的样本中,超过 50%的打车出行是在替代更可持续的出行方式(即公共交通、主动出行方式和拼车)或创造新的车辆里程,诱导出行率为 5.8%,其中公共交通是最常被替代的出行方式。没有家用车且使用合乘服务的受访者更有可能替代公交出行。长距离打车出行替代步行、自行车或公交出行的可能性较小。少数种族或少数族裔受访者或没有家用车的受访者最不可能在打车服务不可用的情况下取消出行,这表明他们使用打车服务是出于必要而非随意的目的。总之,这些发现为决策者解决与打车服务相关的环境和公平问题提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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