Several municipal transit agencies have partnered with transportation network companies to provide a range of services, but data restrictions have limited research on trip-level observations of transit-integrated ridesourcing users. The goal of this study was to understand how users’ trip-making behaviors adapted to a transit-integrated ridesourcing pilot in Waterloo, Ontario. This research conducted a longitudinal analysis of 178 unique users and temporal analyses of their 4,536 ridesourcing trips (rides) taken throughout the pilot from November 2018 to December 2019. Trip type and frequency changes over time were measured for frequent, average, and infrequent users. Transit, walking, and cycling alternatives to the pilot rides were generated and characterized based on their complementarity with transit. The number of unique users and daily ridership increased over time, as new users made their first trips and existing users made trips more frequently. Frequent users shifted toward less transit-competitive trip types whereas average and infrequent users had a sporadic but larger share of more transit-competitive trip types. The pilot was mostly used during off-peak service periods, when transit was less frequent, which suggests these systems are valuable for nonwork trips. Transit trip alternatives were not temporally competitive with rides. Cycling was competitive with 5% to 10% of rides and was consistently faster than walking and transit alternatives. Walking was not a practical alternative to rides in most cases. This analysis may inform other agencies of performance evaluation techniques for their transit-integrated ridesourcing pilots and the unique characteristics of trips taken by users of this mode.

几个市政运输机构已与运输网络公司合作提供一系列服务，但是数据限制限制了对运输集成乘车服务用户的出行水平观测的研究。这项研究的目的是了解用户的出行行为如何适应安大略省滑铁卢市的公交综合出行驾驶员。该研究对2018年11月至2019年12月在整个试点中进行的178个唯一用户进行了纵向分析，并对他们的4,536个骑乘出行旅行进行了时间分析。对频繁，平均和不经常使用的用户的出行类型和频率变化进行了测量。生成并替代了飞行员的乘车，步行和骑行替代品，并根据它们与乘车的互补性进行了表征。随着新用户的首次出行和现有用户的出行更加频繁，唯一身份用户的数量和每日出行量随着时间的推移而增加。经常使用的用户转向交通运输较少的出行类型，而普通用户和不经常使用的用户则在交通运输较多的出行类型中有零星但份额较大。该飞行员主要在非高峰时段使用，因为这时交通不那么频繁，这表明这些系统对于非工作旅行很有用。过境旅行替代品与乘车服务在时间上没有竞争性。骑自行车在5％到10％的乘车率中具有竞争力，并且始终比步行和运输方式快。在大多数情况下，步行并不是骑行的实用替代方法。