Highlights Using focus groups we study activities in the AV and their impact on other activities. We identify 4 on-board activity types based on their novelty and priority levels. Time pressure, amenities, activity needs, wishes, constraints affect activity choice. Feasibility of on-board activities may decrease or increase time pressure. We highlight areas for quantitative work and travel behaviour model development.
Abstract Automated Vehicles (AVs) are expected to allow their users to engage in a broad range of non-driving activities while travelling, such as working, sleeping, playing games. The impact of this possibility on the satisfaction with travel and on travel demand has been extensively discussed in the literature. However, it has been hardly recognised that the availability of on-board activities influences the (time-geographic) constraints of daily activities and may alter the selection, location, and sequencing of other activities in the day. This hampers correct representation of travel behaviour in activity-based models aiming to predict the effects of AVs on mobility and environment (e.g., greenhouse gas emissions). To help fill this gap, we gathered and analysed qualitative data from focus groups, in which 27 commuters discussed their expectations concerning on-board activities and daily schedules in the AV-era. Among the core insights are the following three. First, it is useful to separate in modelling the satisfaction with travel and the potential for on-board activities during travel: they have different determinants and different consequences for activity schedules and individual travel demand. Second, on-board activities may be classified in 4 quadrants according to their novelty and priority level: this classification is helpful in understanding the potential re-arrangements of daily activities. Third, performing new activities during travel may lead to complex re-arrangements of daily activity patterns; the re-arrangements may ease or also increase time pressure. These, and other reported insights may facilitate more realistic representation of activity-travel behaviour in future travel behaviour models.
How will automated vehicles shape users’ daily activities? Insights from focus groups with commuters in the Netherlands
Transportation Research Part D: Transport and Environment ; 71 ; 222-235
2018-11-25
14 pages
Article (Journal)
Electronic Resource
English
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