An exploration of the preferences and mode choice behavior between autonomous demand-responsive transit and traditional buses

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Abstract

With the advancement in autonomous driving techniques, autonomous demand-responsive transit (ADRT) is a newly emerging sustainable transport mode for the future, which will provide more flexible services to public users. ADRT offers benefits such as flexible stops and routes and comfortable seats, but it also involves risks due to the vehicles being driverless. This paper particularly investigates users’ preferences and attitudes towards ADRT, and mode choice behavior between ADRT buses and traditional buses. A survey with Likert scale statements and stated preference (SP) choice scenarios is designed and conducted to explore users’ attitudes towards the safety risks of autonomous vehicles (AVs), social concerns, service flexibility concerns when using AVs, interest in new things, and shuttle mode choices. An integrated choice and latent variable (ICLV) model is adopted to explore users’ psychological factors through latent variables and to integrate them into mode choice behavioral modeling. Estimated results indicate that users’ attitudes towards AV safety risks, their social concerns, and their flexibility concerns with ADRT strongly influence their mode choices and are strongly related to sociodemographic and travel-related factors such as age, gender, income, education, number of family members. In general, a young age, a high education level, a higher income, private car ownership, and better knowledge of AVs are positively related to attitudes towards ADRT. Females, users from large families, and users with driving licenses or long commuting times are less willing to adopt ADRT. The study's outcomes highlight significant heterogeneities among users and can be highly valuable for policymakers, such as government authorities, in providing social support and designing policies targeting specific population groups. This will be beneficial in attracting more users to this emerging mobility service and contributing to sustainable urban development.
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自主需求响应公交与传统公交的偏好和模式选择行为探讨
随着自动驾驶技术的发展,自动需求响应式公交(ADRT)成为未来新兴的可持续交通模式,将为公共用户提供更加灵活的服务。自动驾驶公交具有停靠站点和路线灵活、座位舒适等优点,但也存在车辆无人驾驶的风险。本文特别研究了用户对 ADRT 的偏好和态度,以及 ADRT 公交车和传统公交车之间的模式选择行为。本文设计并开展了一项采用李克特量表陈述和陈述偏好(SP)选择情景的调查,以探讨用户对自动驾驶汽车(AVs)的安全风险、社会关注、使用自动驾驶汽车时的服务灵活性、对新事物的兴趣以及班车模式选择的态度。采用综合选择和潜变量(ICLV)模型,通过潜变量探究用户的心理因素,并将其纳入模式选择行为模型。估计结果表明,用户对自动驾驶汽车安全风险的态度、对社会问题的关注以及对自动驾驶汽车灵活性的关注强烈地影响着他们的模式选择,并且与年龄、性别、收入、教育程度、家庭成员数量等社会人口和出行相关因素密切相关。一般来说,年龄小、教育程度高、收入高、拥有私家车、对自动驾驶汽车有更多了解与对自动驾驶汽车的态度呈正相关。女性、大家庭成员、有驾驶执照或通勤时间较长的用户不太愿意采用自动驾驶汽车。研究结果凸显了用户之间的显著异质性,对政府当局等政策制定者提供社会支持和设计针对特定人群的政策极具价值。这将有利于吸引更多用户使用这种新兴的交通服务,促进城市的可持续发展。
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来源期刊
International Journal of Transportation Science and Technology
International Journal of Transportation Science and Technology Engineering-Civil and Structural Engineering
CiteScore
7.20
自引率
0.00%
发文量
105
审稿时长
88 days
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