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A day in the life with an automated vehicle: Empirical analysis of data from an interactive stated activity-travel survey
Journal of Choice Modelling ( IF 4.164 ) Pub Date : 2021-03-31 , DOI: 10.1016/j.jocm.2021.100286
Baiba Pudāne , Sander van Cranenburgh , Caspar G. Chorus

Fully Automated Vehicles (AVs) have been widely expected to revolutionise the future travel experience. Recent studies have shown that their impact may also reach beyond the travel episode, and lead their users to alter other activities performed during the day – their daily lifestyles. This study is among the first to empirically investigate the changes that travellers expect in their daily activities with AVs. To this aim, we created an interactive stated activity-travel survey, in which respondents designed their current daily schedule and, following that, redesigned it while imagining that their most frequently used travel mode is replaced with an AV. We administered the survey to 509 commuters in the Netherlands and analysed (changes in) on-board and stationary activity patterns using the multiple discrete-continuous extreme value (MDCEV) model. Results show a clear increase in the prevalence of various on-board activities in the AV compared to current modes, and even stronger increase for the high income and higher educated groups. Changes in stationary activities are less pronounced: no changes in the aggregate, but some changes within particular socio-demographic groups. Specific changes in stationary activities were associated with specific changes in on-board activities for the higher educated respondents: switching to AVs, they were more likely than others to add on-board work, meals, and leisure to their trips and more likely to add a getting ready activity to their stationary schedules. This study contributes to the growing body of literature that recognises and models on-board activities as an integral part of daily schedules.



中文翻译:

使用自动驾驶汽车生活中的一天:对互动式陈述性旅行调查的数据进行实证分析

人们普遍期望全自动汽车(AVs)彻底改变未来的出行体验。最近的研究表明,他们的影响也可能超出旅行情节,并导致用户改变白天进行的其他活动-他们的日常生活方式。这项研究是第一个以实证研究旅行者在使用AV进行日常活动中期望发生的变化的研究之一。为此,我们创建了一个互动式陈述活动旅行调查,在该调查中,受访者设计了他们当前的日程安排,然后在重新设计时又想到了他们最常用的旅行方式已被AV取代。我们对荷兰的509名通勤者进行了调查,并使用多重离散连续极值(MDCEV)模型分析了船上和固定活动模式(的变化)。结果显示,与当前模式相比,AV中各种车载活动的患病率明显增加,对于高收入和受过高等教育的群体,则更为明显。固定活动的变化不太明显:总体上没有变化,但是特定的社会人口群体中有一些变化。对于较高学历的受访者,固定活动的特定变化与船上活动的特定变化相关:切换到自动驾驶汽车,与其他人相比,他们更有可能增加船上工作,用餐,和休闲旅行,更有可能为他们的固定时间表增加准备活动。这项研究促进了越来越多的文学作品的发展,这些文学作品将船上活动视为日常活动的组成部分,并对其进行建模。

更新日期:2021-04-13
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