Driving the shift to electric motorcycles: The role of AI trust and AI benefits
Author Identifier (ORCID)
Thao Nhi Ho-Mai: https://orcid.org/0009-0002-1977-8587
Abstract
Motorcycles dominate urban transport in Southeast Asia but significantly contribute to air pollution and health risks. Government efforts to promote electric motorcycles (EMs) have been extensive, yet consumer switch rates continue to lag behind expectations. Currently, AI plays a transformative role in the development, functionality, and optimisation of EMs; however, the influence of beliefs in AI benefits and trust in AI on EM switching intention has not been examined. This study addresses this gap by extending the Value-Belief-Norm theory with these two constructs, incorporating age and gender as moderators. Additionally, perceived value is treated as a second-order construct, consisting of five dimensions that collectively capture its multifaceted nature. Data from Vietnamese respondents were analysed using PLS-SEM. The results show that perceived value directly influences beliefs in EM benefits, AI benefits for EMs, and trust in AI technologies. Trust in AI and personal norms significantly shape the switching intention. This research provides actionable recommendations for policymakers to accelerate EM switching intention and contributes to advancing theoretical discussions on sustainable transport and AI integration in mobility solutions.
Keywords
AI, electric motorcycles, perceived value, PLS-SEM, value-belief-norm
Document Type
Journal Article
Date of Publication
3-1-2026
Volume
118
Publication Title
Transportation Research Part F: Traffic Psychology and Behaviour
Publisher
Elsevier
School
School of Business and Law
RAS ID
99534
Funding Information
This research is supported by the Smart Green Transformation Center (GREEN-X) at VinUniversity under Grant No. VUNI.GREEN-X.RISE.AY25-27.09.
Copyright
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Comments
Nguyen-Phuoc, D. Q., Ho-Mai, T. N., Nguyen, T. P. T., Vo, N. D. Q., Luu, T. T., & Su, D. N. (2026). Driving the shift to electric motorcycles: The role of AI trust and AI benefits. Transportation Research Part F: Traffic Psychology and Behaviour, 118, 103484. https://doi.org/10.1016/j.trf.2025.103484