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

近日，德克萨斯州奥斯汀无限期暂停了基于众包的拼车服务，这为观察这些服务对公众出行行为的影响提供了一个独特的、有时间限制的机会--S。该项目调查叫车服务中断对居民的影响？出行需求。它将记录和分析拼车乘客为应对这些服务暂停而做出的适应。特别值得注意的是利用多种出行方式的旅行，特别是在这些服务提供所谓的第一英里和最后一英里连接到公共交通系统的情况下。因此，通过这项工作产生的数据和分析将有助于为其他城市的政策制定者提供信息，在这些城市中，基于众包的交通服务正在或可能变得活跃。研究成果预计将通过提供关于按需机动性的宝贵见解而造福社会，因为它与交通和环境政策都有关。通过对这些服务的用户进行在线调查，将对旅行行为的主要衡量标准进行评估，包括旅行次数、活动类型、旅行方式选择、旅行目的和旅行分布。这项调查将在6至8周内进行，将采用系统抽样方法，使前用户群体能够广泛参与。将努力通过利用社交媒体接触到以前的用户来提高回复率。与这项研究相关的成果包括方法学工具和一个独特的数据集，它们将支持对多式联运系统的复原力进行建模。

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.