RAPID/Collaborative Research: Measuring the Impact of An Unanticipated Disruption of On-Demand Ride Services in Austin, Texas

最近，德克萨斯州奥斯汀市无限期暂停了众包拼车服务，这为观察这些服务对公众的影响提供了一个独特的、有时间限制的机会。S旅行行为。这个项目调查了叫车服务的中断对居民的影响。旅游需求。它将记录和分析拼车乘客为应对这些服务的暂停而做出的调整。特别值得注意的是利用多种旅行方式的旅行，特别是这些服务提供所谓的第一英里和最后一英里与公共交通系统的联系。因此，通过这项工作产生的数据和分析将提供信息，可以为其他城市的决策者提供信息，这些城市基于众包的交通服务正在或可能变得活跃。研究结果有望通过提供与交通和环境政策相关的按需出行的宝贵见解，造福社会。通过对这些服务的用户进行在线调查，将对旅行行为的关键指标进行评估，包括旅行次数、活动类型、旅行模式选择、旅行目的和旅行分布。这项为期6-8周的调查将采用有系统的抽样方法，使以前的使用者能够广泛参与。将努力通过利用社会媒体接触以前的用户来提高回复率。与该研究相关的成果包括方法论工具和一个独特的数据集，该数据集将支持多式联运系统弹性建模。

The recent indefinite suspension of crowdsource-based ridesharing services in Austin, Texas provides a unique and time-limited opportunity to observe the impact of these services on the public?s travel behavior. This project investigate how the disruption of ride sourcing services impacts residents? travel demand. It will document and analyze the adaptations that ride-sharing passengers make in response to the suspension of these services. Of particular attention are trips that utilize multiple travel modes, especially where these services provide the so-called first- and last-mile links to the public transit systems. The data and analyses produced through this work will thereby contribute information that could inform policy makers in other cities in which crowdsource-based transportation services are or may become active. Research findings are expected to benefit society by providing invaluable insights on on-demand mobility as it relates to both transportation and environmental policies. Using surveys administered online to users of these services, an assessment of the disruption on key measures of travel behavior will be made, including the number of trips, types of activities, travel mode choice, trip purpose and trip distribution. The survey, to be administered over a 6-8 week period, will utilize a systematic sampling methodology, allowing for broad participation among the population of former users. Efforts will be made to increase the response rate by utilizing social media to reach former users. Deliverables associated with the research include methodological tools and a unique dataset that will supporting modeling the resilience of multi-modal transportation systems.