Value of travel time savings of autonomous vehicle commuters: a segmented valuation for local and inter-city travel

IF 2.9 3区 工程技术 Q2 ENVIRONMENTAL STUDIES International Journal of Urban Sciences Pub Date : 2023-01-10 DOI:10.1080/12265934.2023.2165531
Sungtaek Choi, Daejin Kim, Joonho Ko, Jonghan Park, Yongseok Ko
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引用次数: 2

Abstract

In this study we aim to identify how the adoption of autonomous vehicles (AVs) affects the value of travel time savings (VOTTS) for commuting trips under different trip distance scenarios (local and inter-city travel). Using a stated preference survey administered to Korean commuters in 2019, two multinomial logit (MNL) mode choice models are developed. These models are stratified by trip length and include four alternatives: AV with a manual driving option (AVMD), AV with a self-driving option (AVSD), shared AV (SAV), and public transit (PT). The results show that the value of in-vehicle travel time savings for AVSD (on average, $7.61/hr) is lower than for the other two AV modes (AVMD = $10.26/hr, SAV = $13.67/hr). It suggests that travelers tend to pay less to reduce travel time while using a private hands-free mode because it allows travelers to use their travel time more productively and/or relieve stress for driving. In addition, changes in the VOTTS for each mode vary by trip length. As travel distance increases, VOTTS for shared modes (SAV and PT) tends to decrease. The value of in-vehicle travel time for SAV in the local travel scenario is the highest among the four modes but is considerably lower than that in the inter-city scenario. These differences suggest that travelers require a certain amount of time to fully use their in-vehicle time, highlighting the importance of trip length when determining the VOTTS. Interestingly, the VOTTS for PT is lower than three AV modes, implying that it might be too early to expect substantial reduction in the VOTTS for AVs due to potential risks of accidents, unfamiliarity with AVs, or immature technology of AVs. HighlightsLikelihood of choosing autonomous vehicles is modelled based on trip length.Changes in value of travel time savings for each mode vary by trip length.Value of travel time savings for public transit is lower than autonomous vehicles.Self-driving vehicles have a low value of travel time savings than other modes.People need a certain amount of time to fully perform activities while traveling.
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自动驾驶汽车通勤者节省的旅行时间价值:对本地和城际旅行的分段评估
在本研究中,我们旨在确定自动驾驶汽车(AVs)的采用如何影响不同行程距离情景(本地和城际旅行)下通勤旅行的旅行时间节省价值(VOTTS)。利用2019年对韩国通勤者进行的既定偏好调查,开发了两个多项logit (MNL)模式选择模型。这些车型按行程长度分层,包括四种选择:手动驾驶选项(AVMD)、自动驾驶选项(AVSD)、共享自动驾驶(SAV)和公共交通(PT)。结果表明,AVSD模式的车内旅行时间节省价值(平均为7.61美元/小时)低于其他两种自动驾驶模式(AVMD = 10.26美元/小时,SAV = 13.67美元/小时)。研究表明,在使用私人免提模式时,旅行者倾向于花更少的钱来缩短旅行时间,因为它可以让旅行者更有效地利用他们的旅行时间,并/或减轻驾驶压力。此外,每种模式的VOTTS变化随行程长度而变化。随着旅行距离的增加,共享模式(SAV和PT)的VOTTS有减小的趋势。在四种出行模式中,本地出行模式下SAV的车内出行时间值最高,但远低于城际出行模式。这些差异表明,旅行者需要一定的时间来充分利用他们的车内时间,这突出了在确定VOTTS时旅行长度的重要性。有趣的是,PT模式的VOTTS低于三种自动驾驶模式,这意味着由于潜在的事故风险、人们对自动驾驶汽车的不熟悉或自动驾驶汽车技术的不成熟,期望自动驾驶汽车的VOTTS大幅降低可能还为时过早。选择自动驾驶汽车的可能性是基于行程长度建模的。每种模式的旅行时间节省值随行程长度而变化。公共交通节省的出行时间价值低于自动驾驶汽车。与其他交通方式相比,自动驾驶汽车节省的出行时间价值较低。人们在旅行时需要一定的时间来充分完成活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.90
自引率
6.90%
发文量
36
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