查看文章

Pooled ridehailing services, like UberPOOL and Lyft Line (now known as UberX Share and Lyft Shared, respectively), offer passengers the opportunity to share a part or the entirety of their trip with other paying passengers that they typically do not know, resulting in lower fares. While the shared-mobility approach may hold potential for a future with greater passenger travel and reduced vehicle travel, it is essential to ensure that it does not result in additional mileage due to deadheading or the detours necessary to accommodate picking up additional passengers to shar rides. In this paper we estimate a mixed logit model to study the factors that affect choice between pooled and solo ridehailing (eg, UberX) trips. We use panel data collected through rMove, an in-app survey and GPS data collection tool to collect information on users’ travel behaviors in three metro regions of California. We find that lower-income individuals, non-whites, women, and younger adults are more likely to choose pooled ridehailing. The more cars individuals own, the less likely they are to pool. Frequent ridehailing users are associated with more pooling, while not having to pay for a trip (eg, a work trip paid by an employer) reduces the likelihood of pooling. Trips that originate in high-density areas are also more likely to be pooled. Furthermore, we find a positive relationship between the use of public transit and active modes and the likelihood of pooling, highlighting the risk of competition (and substitution) among these modes, but also an openness to multimodal travel among certain groups. This analysis provides valuable insights in policymakers, such as those involved …