Citation

Ho, Jen Sim and Tan, Booi Chen and Lau, Teck Chai and Khan @ Thandar Oo, Nasreen (2023) Public Acceptance towards Emerging Autonomous Vehicle Technology: A Bibliometric Research. Sustainability, 15 (2). p. 1566. ISSN 2071-1050

Text sustainability-15-01566-v2.pdf - Published Version Restricted to Repository staff only Download (2MB)

Abstract

In the current challenging and competitive dynamic business world today, automotive companies have been rapidly developing and promoting autonomous vehicles (AVs), which aim to reduce crashes, energy consumption, pollution, and congestion and increase transport accessibility. To ensure the successful adoption of AVs, an increasing number of studies have been conducted to understand public acceptance. This paper used the bibliometric technique to understand the distribution, emerging trend, and the research cluster in the context of AV technology acceptance through knowledge mapping. The Web of Science database was used to retrieve 401 scientific articles from 2000 to June 2022. The findings reported that the previous studies mainly focused on the research clusters related to the domains of attitude, trust, technology, impact, and models. Finally, this study added to the existing body of literature by providing the current knowledge landscape to guide the future research.

Item Type:	Article
Uncontrolled Keywords:	autonomous vehicle; public acceptance; research trends; bibliometric techniques
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1-484 Motor vehicles. Cycles
Divisions:	Faculty of Management (FOM)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	11 Apr 2023 01:40
Last Modified:	11 Apr 2023 01:40
URII:	http://shdl.mmu.edu.my/id/eprint/11347

Downloads

Edit (login required)