Wadud, Z orcid.org/0000-0003-2692-8299 and Huda, FY (2019) Fully automated vehicles: the use of travel time and its association with intention to use. Proceedings of the Institution of Civil Engineers: Transport. ISSN 0965-092X
Abstract
Traditionally, time spent travelling has been seen as a ‘cost’ to the traveller. Autonomous or fully automated vehicles (FAVs) can free the driver of the driving task and allow engagement in other worthwhile activities inside the FAVs, which can transform how people travel. However, there is little understanding about how travel time can be used and how worthwhile this time can be in FAVs; and whether this is related to the intention to use FAVs. This paper addresses these questions through a multi-country questionnaire survey, with a sub-sample of chauffeur-driven car users to mimic time use in FAVs. Responses show that users are likely to engage in other non-driving activities while riding in FAVs, and these differ according to trip purpose and direction. Time spent travelling in FAVs is perceived to be more useful than in current modes of transport. Interest in using FAVs is directly correlated with perceived usefulness of time in autonomous vehicles. There is a strong correlation between intended activities in FAVs and current activities by primary car users in chauffeur-driven cars, providing some validation to the stated intention responses. Results have important implications for policy-making, time use and value-of-time research, as well as vehicle interior design.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Published with permission by the ICE under the CC-BY 4.0 license. (https://creativecommons.org/licenses/by/4.0/) |
Keywords: | autonomous vehicles; travel time use; regression; motion-sickness; social impact; statistical analysis; transport planning |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Mar 2019 12:22 |
Last Modified: | 27 Jan 2022 09:45 |
Status: | Published online |
Publisher: | Thomas Telford (ICE Publishing) |
Identification Number: | 10.1680/jtran.18.00134 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143801 |