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Universitätsbibliothek Heidelberg
Verfasst von:Madigan, Ruth
 Louw, Tyron
 Wilbrink, Marc
 Schieben, Anna
 Merat, Natasha
Titel:What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of automated road transport systems
Verlagsort:Oxford
Verlag:Elsevier Ltd
 Elsevier Science Ltd
Jahr:2017
Inhalt:•Questionnaire administered to users of an automated road transport system (ARTS).•UTAUT model explains significant variance in the acceptance of ARTS.•Hedonic Motivation is the strongest predictor of Behavioural Intentions to use ARTS.•Performance Expectancy, Social Influence, and Facilitating Conditions also contribute.•Implications for designers and developers of automated transport are discussed. 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.
ISSN:1369-8478
Titel Quelle:Transportation research. Part F, Traffic psychology and behaviour
Jahr Quelle:2017
Band/Heft Quelle:50, S. 55-64
DOI:doi:10.1016/j.trf.2017.07.007
URL:http://www.ub.uni-heidelberg.de/cgi-bin/edok?dok=https%3A%2F%2Ffanyv88.com%3A443%2Fhttps%2Fdx.doi.org%2F10.1016%2Fj.trf.2017.07.007
 http://www.ub.uni-heidelberg.de/cgi-bin/edok?dok=https%3A%2F%2Ffanyv88.com%3A443%2Fhttps%2Fsearch.proquest.com%2Fdocview%2F2084458718
 DOI: https://doi.org/10.1016/j.trf.2017.07.007
Sprache:English
Sach-SW:Acceptance of automation
 Automated public transport
 Influence
 Public access
 Public transportation
 Railroad transportation
 Road transportation
 Social-psychological model
 User-acceptance
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