Pooled ride-hailing services such as UberPool are believed to contribute towards reducing greenhouse gas emissions and traffic congestion, and have caught the attention of policymakers, as they align much closer to sustainable transport objectives. The relative sustainability of these services depends on their ability to successfully match riders for pooled trips. Accordingly, this paper examines the matching propensity of shared ride-hailing services and explores the detour penalty associated with pooling, as this impacts the uptake and viability of shared services. Using a 12-million record dataset of every ride-hailing trip conducted in Toronto between September 2016 and March 2017, we determine that 15% of ride-hailing trips were pooled, but that only 52% of these were actually matched. A probit model reveals that higher demand and longer trip distances significantly improve matching propensity. We also examine the detour penalty associated with pooling and find that successfully matched shared ride-hailing trips only took 3.6 minutes longer, on average, than comparable non-shared trips. Our findings imply that reducing the detour time associated with pooling to attract more riders may ultimately increase the likelihood that shared trips go unmatched, negating the sustainability benefits of the service.

UberPool等集合乘车服务被认为有助于减少温室气体排放和交通拥堵，并且由于它们与可持续交通目标更加接近，因此引起了政策制定者的关注。这些服务的相对可持续性取决于他们能否成功匹配骑手以进行集体旅行。因此，本文研究了共享乘车服务的匹配倾向，并探讨了与共享服务相关的绕行惩罚，因为这会影响共享服务的使用和生存能力。使用2016年9月至2017年3月在多伦多进行的每次乘车旅行的1200万记录数据集，我们确定15％的乘车旅行被汇总，但实际上只有52％是匹配的。一个概率模型表明，更高的需求和更长的行程距离可以显着提高匹配倾向。我们还研究了与集中化相关的绕行处罚，发现成功匹配的共享乘车旅行平均仅比可比较的非共享旅行花费了3.6分钟。我们的研究结果表明，减少与集中化相关的弯路时间以吸引更多车手可能最终会增加共享行程无与伦比的可能性，从而抵消了服务的可持续性优势。