1-s2.0-S1369847822000043-main.pdf (1.28 MB)
Non-driving related tasks and journey types for future autonomous vehicle owners
journal contribution
posted on 2022-07-11, 09:06 authored by Chris Wilson, Diane GyiDiane Gyi, Andrew MorrisAndrew Morris, Robert Bateman, Hiroyuki TanakaHighly automated vehicles (AVs) have the potential to improve the journey experience for all users by allowing them to partake in Non-Driving Related Tasks (NDRTs). Using a 42-question online survey of drivers (n = 1378, 59% males, 40% females), and in-depth interviews (n = 18, 56% males, 44% females), this study investigated NDRTs and the motivations for private ownership of highly automated vehicles (AVs). 42% of participants were identified to be more likely to own an AV and, believed that they were safer, would reduce congestion and the risk of accidents. There was also a genuine desire to actively fill the non-driving time being productive or using a device rather than passive tasks such as listening to music or watching their surroundings. Commuting was reported to be the most likely journey type amongst those more likely to own an AV. The commuting journey also showed the most diverse range of NDRTs including social (e.g., conversation, playing games), wellbeing (e.g., eating a meal, sleep), leisure (e.g., watching a video), and being productive (e.g., working on a laptop). This study provides insights into NDRTs to inform future interior vehicle design and motivations for owning highly automated vehicles.
Funding
DTP 2018-19 Loughborough University
Engineering and Physical Sciences Research Council
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History
School
- Design and Creative Arts
Department
- Design
Published in
Transportation Research Part F: Traffic Psychology and BehaviourVolume
85Pages
150 - 160Publisher
Elsevier BVVersion
- VoR (Version of Record)
Rights holder
© The AuthorsPublisher statement
This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence (CC BY-NC-ND 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2022-01-04Publication date
2022-01-21Copyright date
2022ISSN
1369-8478Publisher version
Language
- en
Depositor
Chris Wilson. Deposit date: 21 January 2022Usage metrics
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