The role of trust in influencing consumers' adoption of automated vehicles: An application of the health belief model

Kum Fai Yuen, Fei Ma, Xueqin Wang*, Gunwoo Lee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)

Abstract

The deployment of automated vehicles (AVs) can offer many benefits to the environment and society. Trust plays a crucial role in consumers’ adoption of AVs. This study examines the determinants and effects of trust on consumers' adoption of AVs. A theoretical model drawing on trust theory, health belief model, and attitude theory is presented. The results show that the health belief model’s components comprising perceived safety threat, expectation outcomes, cues to action and self-efficacy influence consumers' trust toward AVs. Consequently, trust has direct and indirect effects on consumers' adoption of AVs via attitude. Bootstrapping analysis suggests a mediated relationship. The findings implicate a wide array of transport and industry policies relating to the design of AVs, transport infrastructure development, public communication and marketing, and education and training.

Original languageEnglish
Pages (from-to)837-849
Number of pages13
JournalInternational Journal of Sustainable Transportation
Volume15
Issue number11
DOIs
Publication statusPublished - 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 Taylor & Francis Group, LLC.

ASJC Scopus Subject Areas

  • Environmental Engineering
  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Automotive Engineering
  • Transportation

Keywords

  • adoption
  • Automated vehicles
  • factor analysis
  • structural equation modeling
  • trust

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