Preferences of urban rail users for first- and last-mile autonomous vehicles: Price and service elasticities of demand in a multimodal environment

Preferences of urban rail users for first- and last-mile autonomous vehicles: Price and service elasticities of demand in a multimodal environment
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城市轨道交通用户对第一英里和最后一英里自动驾驶车辆的偏好:多式联运环境中需求的价格和服务弹性

DOI:
10.1016/j.trc.2021.103105
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发表时间:
2021
期刊:
Transportation Research Part C: Emerging Technologies
影响因子:
--
通讯作者:
Abe Ryosuke
Abe Ryosuke
中科院分区:
--
文献类型:
--
作者:
Santa Miwa;Satoshi Sugiura;森田 一平・杉浦 聡志・倉内 文孝;神谷 奏有・杉浦 聡志;松田奈緒子・倉内文孝・内田賢悦・円山琢也・杉浦聡志・丹下真啓・田中久光・横地和彦・村野祐太郎;Abe Ryosuke

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将自动驾驶汽车(AVs)整合到公交网络中是全球大都市地区面临的一个关键问题。这项研究调查了城市轨道交通/快速交通用户对第一英里和最后一英里AV服务的偏好,这些服务还没有被很好地理解。首先,开发了一种接入模式选择模型,该模型包含了由AVS实现的按需公交接入。其次,该模型是根据对居住在东京都最近火车站1-5公里范围内的2300名居民的调查获得的明确选择数据来估计的,其中选择任务是基于最近对家庭端站的访问。最后,使用估计的模型来计算接入方式的需求相对于AV成本和等待时间的弹性。结果表明,公交票价弹性对公交服务需求的价格敏感度在合理范围内。AVS与现有模式有不同的替代模式。对于所有旅行目的,乘坐视听服务更有可能替代乘坐公交车/较慢的交通工具,以及驾驶汽车,尤其是休闲旅行,但骑自行车和步行的可能性较小,尤其是工作旅行。等待时间弹性可能因等待环境和条件的不同而不同。研究结果还表明,自愿退休制度可能特别有利于那些目前在过境方面受到限制的人。
Integrating autonomous vehicles (AVs) into transit networks is a critical problem for metropolitan areas worldwide. This study investigates the preferences of urban rail/rapid transit users for first- and last-mile AV services, which are not well understood. First, it develops an access mode choice model incorporating on-demand transit access enabled by AVs. Second, the model is estimated with stated choice data obtained from a survey of 2,300 residents living within 1–5 km of their nearest rail stations in the Tokyo metropolitan area, in which choice tasks are based on recent access to home-end stations. Finally, estimated models are used to compute elasticities of demand for access modes with respect to AV cost and wait time. The results show that price sensitivities of demand for AV services lie within a reasonable range of transit fare elasticities. AVs have diverse substitution patterns with existing modes. Riding in AV services is more likely to be a substitute for riding on buses/in slower modes of transit for all travel purposes, and for driving cars, particularly for leisure trips, but less likely for cycling and walking, particularly for work trips. The AV wait time elasticities might vary according to the waiting environment and conditions. The results also suggest that AVs may particularly benefit those who currently have restrictions in accessing transit.
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