RAPID/Collaborative Research: Measuring the Impact of the Re-entry of Ride Sourcing in Austin, Texas: A Natural Experiment

在1号提案失败后暂停奥斯汀的服务大约一年后，Uber和Lyft于2017年5月29日在奥斯汀重新启动了拼车服务。服务恢复是为了响应德克萨斯州众议院100号法案，该法案为交通网络公司建立了一个全州范围的监管框架，取代了地方条例。为了应对这一发展，这个快速反应研究（RAPID）合作研究项目的赠款将分析服务中断结束后旅行行为的变化。该项目代表了一个独特的自然实验，以衡量这些服务对城市基础设施和经济的影响。激励性的研究问题是，“如何恢复乘车外包服务影响出行行为，特别是在旅行次数，模式选择和车辆所有权方面”明尼苏达州明尼阿波利斯市I-35 W大桥的倒塌和随后的重建提供了一个比较案例，其中25%的使用量减少了25%。该项目将设计并实施一项针对拼车乘客的出行调查，以量化Uber和Lyft在德克萨斯州奥斯汀恢复拼车服务对出行行为的影响。调查将采用非随机、自愿参加的抽样方法，在大约两个月的时间内进行。调查数据将不会被加权或扩展，因为前拼车乘客的全部宇宙尚不清楚。预期的研究结果有可能捕捉乘客和组织的适应，以应对服务恢复。预计这些结果还将为正在进行的关于类似活动对其他城市流动性影响的讨论提供信息。将提供数据编码方法以及数据本身，以支持随后的研究。

Approximately one year after suspending services in Austin following the defeat of Proposition 1, Uber and Lyft relaunched ridesharing services in Austin on May 29, 2017. Services resumed in response to Texas House bill 100, which created a statewide regulatory framework for transportation network companies that superseded local ordinances. In response to this development, this Grants for Rapid Response Research (RAPID) collaborative research project will analyze changes to travel behavior after a service disruption has ended. The project represents a unique natural experiment to measure the impact of these services on city infrastructure and the economy. The motivating research question is, "How does the restoration of ride-sourcing services impact travel behavior particularly with regards to number of trips, mode choice and vehicle ownership" A comparative case is provided by the collapse and subsequent reconstruction of the I-35W Bridge in Minneapolis, Minnesota, in which a 25 percent reduction in usage was seen following opening of a replacement bridge. This project will design and implement a travel survey of ride-sourcing passengers in order to quantify the impact on travel behavior as a result of Uber and Lyft restoring ridesharing services in Austin, TX. The survey will utilize a non-random, opt-in sampling methodology, to be administered over an approximate two-month period. The survey data will not be weighted or expanded, as the full universe of former ridesharing passengers is not known. Expected research results have the potential to capture adaptations by passengers and organizations in response to service restoration. The results are also expected to inform ongoing discussions on the impact of similar events on mobility in other cities. Methods for data coding as well as the data themselves will be made available to support subsequent research.