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Word of mouth and behavioural intentions of the automated bus service
Soochow Univ, Gold Mantis Sch Architecture, 199 Ren Ai Rd,Suzhou Ind Pk, Suzhou, Jiangsu, Peoples R China..
Univ Nat Resources & Life Sci, Inst Verkehrswesen IVe, Digitalisat & Automat Transport & Mobil Syst, Peter Jordan Str 82, A-1190 Vienna, Austria..
Tech Univ Munich, Dept Civil Geo & Environm Engn, Arcisstr 21, D-80333 Munich, Germany..ORCID iD: 0000-0003-0203-9542
KTH, School of Industrial Engineering and Management (ITM), Centres, Integrated Transport Research Lab, ITRL.ORCID iD: 0000-0003-2011-6273
2022 (English)In: Cities, ISSN 0264-2751, E-ISSN 1873-6084, Vol. 126, p. 103668-, article id 103668Article in journal (Refereed) Published
Abstract [en]

Automation technology has received great attention recently and been expected to play an important role in future transport systems. Understanding determinants of travellers' intention to use the bus and recommend the service to others is critical to promote such new travel modes. Although previous studies have focused on plausible scenarios based on hypothetical behavioural reactions, predicted adoption intention and recommendation behaviour may not be consistent with those exhibited when the users are exposed to the real automated bus service. Using a panel survey conducted in Stockholm, where an automated bus services is currently operating in the mixed traffic environment on the public road, this study addresses this research gap by investigating public acceptance and usage of these automated buses. Applying a behavioural model, this study explores key influencing factors of automated bus use and word of mouth intention. The results indicate that users' needs and travel demands have a strong power to influence people's intentions to use such a new public travel mode and recommend the service to others. Furthermore, individuals' behaviour intention is found to have no significant effect on actual behaviour in this study, which suggests a gap between intention and action.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 126, p. 103668-, article id 103668
Keywords [en]
Automated buses, Behavioural theory, Intention to use, Word of mouth
National Category
Economics
Identifiers
URN: urn:nbn:se:kth:diva-312805DOI: 10.1016/j.cities.2022.103668ISI: 000792685900001Scopus ID: 2-s2.0-85127314564OAI: oai:DiVA.org:kth-312805DiVA, id: diva2:1661053
Note

QC 20220525

Available from: 2022-05-25 Created: 2022-05-25 Last updated: 2022-06-25Bibliographically approved

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Pernestål Brenden, Anna

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