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Shared Autonomous Vehicles as a Sustainable Solution to the Last Mile Problem: A Case Study of Ann Arbor-Detroit Area

机译:共享自动车辆作为最后一英里问题的可持续解决方案:ANN Arbor-Detroit地区的案例研究

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The problem of accessibility to public transit is well-documented in transportation theory and network literature, and is known as the last mile problem. A lack of first and last mile transit services impairs access to public transit causing commuters to opt for private modes of transit over public modes. This paper analyzes the implications of a shared autonomous vehicle (AV) taxi system providing last mile transit services in terms of environmental, cost, and performance metrics. Conventional public transit options and a hypothetical last-mile shared autonomous vehicle (SAV) system are analyzed for transit between Ann Arbor and Detroit Wayne County Airport for life cycle energy, emissions, total travel time, and travel costs. In the case study, energy savings from using public transit options with AV last mile service were as high as 37% when compared to a personal vehicle option. Energy and greenhouse gas burdens were very sensitive to vehicle powertrain and ridership parameters. The results suggest that an AV taxi service providing last-mile transit services could enhance the sustainability of transit by influencing a mode shift from private modes to public modes of transit. Wait times associated with public transit options, as well as high AV technology costs, could be obstacles for a last mile service.
机译:公共交通可访问性的问题在运输理论和网络文献中被良好记载,被称为最后一英里问题。缺乏第一英里和最后一英里的过境服务损害公共交通的访问,导致通勤者选择通过公共模式的私人运输方式。本文分析了共享自主车辆(AV)出租车系统在环境,成本和绩效指标方面提供最后一英里过境服务的影响。传统的公共交通选项和假设的最后一英里共享自主车辆(SAV)系统分析了Ann Arbor和底特律韦恩县机场的过境,以实现生命周期能源,排放,总旅行时间和旅行费用。在案例研究中,与个人车辆选项相比,使用AV Last Mile服务的公共交通选项的节能高达37%。能源和温室气体负担对车辆动力总成和乘坐参数非常敏感。结果表明,提供一英里过境服务的AV出租车服务可以通过影响从私人模式转移到公共交通模式的模式转变来提高运输的可持续性。等待与公共交通选项相关的等待时间以及高级技术成本,可能是最后一英里服务的障碍。

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