Dichabeng, P, Merat, N orcid.org/0000-0003-4140-9948 and Markkula, G orcid.org/0000-0003-0244-1582 (2021) Factors that influence the acceptance of future shared automated vehicles – A focus group study with United Kingdom drivers. Transportation Research Part F: Traffic Psychology and Behaviour, 82. pp. 121-140. ISSN 1369-8478
Abstract
The development of Shared Automated Vehicles (SAVs) is well underway to provide mobility as a service (MaaS) and bring benefits such as reduced traffic congestion, reduced reliance on privately owned vehicles and increased independence to non-drivers. To realise the benefits of SAVs, adoption by private vehicle users is crucial. Previous research has shown this subset of users as the least likely to adopt SAVs, and it is not well understood what factors are important to achieve such adoption. The purpose of this study is to obtain an in-depth understanding of attitudes, perceptions and preferences that influence the acceptance of future SAVs for drivers. This paper presents the results from an online asynchronous focus group study with 21 British drivers as participants. From the analysis, Service Quality, Trust and Price Value emerged as the three most prominent factors to understand user acceptance of SAVs. These three main factors may be of prime importance for convincing naïve private car owners to accept high-speed SAVs. Productive use of travel time has been frequently mentioned in previous research as a benefit of vehicle automation but was scarcely mentioned by participants in this study. Shared Space Quality in introduced as an indicator for Service Quality, together with Security and Trusting Co-passengers as two indicators of Trust. Based on the findings, this paper concludes with a conceptual SAV technology acceptance model is introduced, with the results added as extended model predictors to the Unified Theory of Acceptance and Use of Technology (UTAUT2).
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Elsevier Ltd. All rights reserved. This is an author produced version of an article, published in Transportation Research Part F: Traffic Psychology and Behaviour. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | User acceptance; Shared automated vehicles; Ride-sharing; Car-sharing; Focus group; Shared automated vehicles acceptance model |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Jan 2022 11:26 |
Last Modified: | 26 Aug 2022 00:13 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.trf.2021.08.009 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:182916 |
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