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Cluster analysis of carsharing users’ behavior in Bangkok, a highly motorized and developing city

机译:高度机动化和发展中的城市曼谷的汽车共享用户行为的聚类分析

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The number of personal cars is expected to rise at a rapid rate, particularly in developing countries, such as China and India. These increases will hamper the global effort to reach the climate target set by the Paris Agreement as most of these vehicles will be fossil-fuel powered. Urban carsharing is a Transport Demand Management measure that can reduce and delay vehicle purchasing. However, little has been reported on its utilization, particularly in the context of developing countries. This study provides empirical results on how a dominantly station-based carsharing service in Bangkok city, Thailand, is utilized. We analyzed the data generated by the service to provide descriptive information on the users’ behavior. We also clustered the users into three groups; frequent users, typical car renters, and young car sharers to provide new insights into how carsharing is utilized by the Bangkokians. The outcomes provide a reference case for future studies and support policy-making to promote carsharing in a similar context.
机译:私人汽车的数量有望快速增长,特别是在中国和印度等发展中国家。这些增长将阻碍全球为实现《巴黎协定》设定的气候目标而做出的努力,因为这些车辆中的大多数将使用化石燃料。城市汽车共享是一项交通需求管理措施,可以减少和延迟车辆购买。但是,关于其利用的报道很少,特别是在发展中国家的情况下。这项研究提供了关于如何利用泰国曼谷市主要基于车站的汽车共享服务的实证结果。我们分析了服务生成的数据,以提供有关用户行为的描述性信息。我们还将用户分为三类:频繁的用户,典型的租车者和年轻的汽车共享者,以提供有关曼谷人如何利用汽车共享的新见解。研究结果为今后的研究提供了参考案例,并支持在类似情况下促进汽车共享的政策制定。

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