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DOI: 10.14569/IJACSA.2025.0160846
PDF

Consumer Adoption of Autonomous Vehicles in China: A Bibliometric Review of Intention Drivers and Perceptions

Author 1: Yunluo Zou
Author 2: Syuhaily Osman
Author 3: Sharifah Azizah Haron

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 8, 2025.

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Abstract: Autonomous vehicles (AVs) are playing an increasing role in digitally enabled transportation systems with the dramatic emergence of related technologies. Consumer adoption is arguably a key factor in the deployment of AVs in China. In this study, bibliometric analysis was used to explore intention drivers regarding consumer adoption of AVs and the role of consumer perception in the decision-making process from the perspective of Chinese consumers. The results revealed that consumer perception is a highly critical factor influencing the adoption of AVs. Moreover, most Chinese consumers were more sensitive to perceived losses than to gains. In addition, the main public focus was on highly intelligent shared AVs rather than family-use vehicles. These findings could help governments and enterprises gain a deeper understanding of consumer behavior in the Chinese market, which could be used as a reference for implementing measures to better accelerate the diffusion of AVs.

Keywords: Autonomous vehicles; diffusion of AVs; consumer adoption; consumer perception; Chinese market; bibliometric analysis

Yunluo Zou, Syuhaily Osman and Sharifah Azizah Haron. “Consumer Adoption of Autonomous Vehicles in China: A Bibliometric Review of Intention Drivers and Perceptions”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.8 (2025). http://dx.doi.org/10.14569/IJACSA.2025.0160846

@article{Zou2025,
title = {Consumer Adoption of Autonomous Vehicles in China: A Bibliometric Review of Intention Drivers and Perceptions},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160846},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160846},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {8},
author = {Yunluo Zou and Syuhaily Osman and Sharifah Azizah Haron}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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