Shared-use mobility competition: a trip-level analysis of taxi, bikeshare, and transit mode choice in Washington, DC
Shared-use mobility competition: a trip-level analysis of taxi, bikeshare, and transit mode choice in Washington, DC
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共享出行竞争：华盛顿特区出租车、共享单车和交通方式选择的行程级别分析
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
A. Widita
中科院分区：
文献类型：
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作者：
Timothy F. Welch;S. Gehrke;A. Widita
摘要 共享单车和叫车服务等新型共享出行选择的出现，使得私家车和公共交通之间的传统二分法在某种程度上变得无关紧要。交通规划者和政策制定者尚未得出结论，这些移动技术是对现有公共交通服务的补充还是竞争。鉴于交通服务资金来源的不确定性越来越大，但由于私人叫车行业提供的有意义的数据稀缺，理解这种关系至关重要。这项研究将大数据分析工具应用于独特的出行数据集，以揭示华盛顿特区火车站步行区 5 亿次公共交通、出租车和共享单车出行的预测因素。研究结果表明，出行成本和自然环境因素以及土地利用多样性和网络连接指标显着影响个人乘坐出租车或共享单车而不是铁路出行的可能性。
ABSTRACT The emergence of new shared-use mobility options such as bikeshare and ride-hailing services render the traditional dichotomy between personal vehicles and public transit somewhat irrelevant. Transportation planners and policymakers have yet to conclude whether these mobility technologies are complementing or competing against existing public transit services. The understanding of this relationship is vital given the increasing uncertainty of funding sources for transit services, but limited by the scarcity of meaningful data provided by the private ride-hailing industry. This study applies big data analytic tools on a unique travel data set to uncover the predictors motivating a half-billion transit, taxi, and bikeshare trips in rail station walksheds across Washington, DC. Study findings indicate travel cost and natural environment factors as well as land use diversity and network connectivity metrics significantly impact the likelihood for an individual to travel via taxi or bikeshare rather than rail.