Autonomous Vehicle Acceptance in China: TAM-Based Comparison of Civilian and Military Contexts

In this study, a comparative analysis is conducted on the public acceptance of autonomous vehicles (AVs) in civilian and military contexts among the Chinese public. In order to identify the key factors influencing AV adoption under different scenarios, a Technology Acceptance Model (TAM) framework was applied in combination with an extended variable of perceived risk. Also, a structured questionnaire was designed, with 1004 valid responses received from a sample comprising mainly members of the Chinese public aged 31–50. Data analysis was conducted through reliability and validity tests, correlation analysis, and Structural Equation Modeling (SEM). Despite some slight variations in acceptance level between civilian and military fields, overall public attitudes are relatively consistent, according to the analytical results. Specifically, the average behavioral intention is slightly stronger and more consistent among the public in the civilian context, with higher scores achieved with respect to perceived usefulness and perceived risk in the military context, indicating a stronger emphasis on functionality and safety in military applications. As confirmed by SEM path analysis, there are significant influences exerted on behavioral intention by perceived usefulness, perceived ease of use, and satisfaction. These results demonstrate a high level of public acceptance of AV technology among the Chinese public in the context of policy support and technological innovation, providing empirical insights into the development of scenario-specific promotion strategies for the effective application of AV in various settings.

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Publication Details

Journal
World Electric Vehicle Journal
Published
2024-12-24
DOI
https://doi.org/10.3390/wevj16010002
Citations
6
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
2.94
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article

Autonomous Vehicle Acceptance in China: TAM-Based Comparison of Civilian and Military Contexts

Ling Peng, Dan Wan
6 citations
World Electric Vehicle Journal
Impact of AI and Big Data on Business and Society
2.94
article

Autonomous Vehicle Acceptance in China: TAM-Based Comparison of Civilian and Military Contexts

Ling Peng, Dan Wan
article en
6 citations

Abstract

In this study, a comparative analysis is conducted on the public acceptance of autonomous vehicles (AVs) in civilian and military contexts among the Chinese public. In order to identify the key factors influencing AV adoption under different scenarios, a Technology Acceptance Model (TAM) framework was applied in combination with an extended variable of perceived risk. Also, a structured questionnaire was designed, with 1004 valid responses received from a sample comprising mainly members of the Chinese public aged 31–50. Data analysis was conducted through reliability and validity tests, correlation analysis, and Structural Equation Modeling (SEM). Despite some slight variations in acceptance level between civilian and military fields, overall public attitudes are relatively consistent, according to the analytical results. Specifically, the average behavioral intention is slightly stronger and more consistent among the public in the civilian context, with higher scores achieved with respect to perceived usefulness and perceived risk in the military context, indicating a stronger emphasis on functionality and safety in military applications. As confirmed by SEM path analysis, there are significant influences exerted on behavioral intention by perceived usefulness, perceived ease of use, and satisfaction. These results demonstrate a high level of public acceptance of AV technology among the Chinese public in the context of policy support and technological innovation, providing empirical insights into the development of scenario-specific promotion strategies for the effective application of AV in various settings.

World Electric Vehicle JournalVol. 16(1)
Hunan Normal University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Impact of AI and Big Data on Business and Society
2.94
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