Madigan, R orcid.org/0000-0002-9737-8012, Louw, T, Dziennus, M et al. (2 more authors) (2017) What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of Automated Road Transport Systems. Transportation Research Part F: Traffic Psychology and Behaviour, 50. pp. 55-64. ISSN 1369-8478
Abstract
The main aim of this study was to use an adapted version of the Unified Theory of Acceptance and Use of Technology (UTAUT) to investigate the factors that influence users’ acceptance of automated road transport systems (ARTS). A questionnaire survey was administered to 315 users of a CityMobil2 ARTS demonstration in the city of Trikala, Greece. Results provide evidence of the usefulness of the UTAUT framework for increasing our understanding of how public acceptance of these automated vehicles might be maximised. Hedonic Motivation, or users’ enjoyment of the system, had a strong impact on Behavioural Intentions to use ARTS in the future, with Performance Expectancy, Social Influence and Facilitating Conditions also having significant effects. The anticipated effect of Effort Expectancy did not emerge from this study, suggesting that the level of effort required is unlikely to be a critical factor in consumers’ decisions about using ARTS. Based on these results, a number of modifications to UTAUT are suggested for future applications in the context of automated transport. It is recommended that designers and developers should consider the above issues when implementing more permanent versions of automated public transport.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Elsevier Ltd. This is an author produced version of a paper published in Transportation Research Part F: Traffic Psychology and Behaviour. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | automated public transport; acceptance of automation; social-psychological model; user-acceptance |
Dates: |
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Institution: | The University of Leeds |
Funding Information: | Funder Grant number EU - European Union SCP2-GA-2012-314190 |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Aug 2017 12:27 |
Last Modified: | 10 Aug 2018 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.trf.2017.07.007 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:119738 |