Analysis of Public Acceptance and Influencing Factors of Cooperative Vehicle Infrastructure Technology

Cooperative vehicle infrastructure technology has emerged as a cutting-edge and indispensable trend within the transportation sector. While addressing the supply-side requisites of the technology, it is equally important to investigate its demand-side response. To investigate the public acceptance of cooperative vehicle infrastructure technology and its influencing factors, this paper constructs an extended Technology Acceptance Model (TAM). Then, the paper employs the structural equation model (SEM) to validate the path hypotheses of the model, and pinpoints the variables that significantly influence the intention to use the technology. Moreover, the Bayesian network (BN) model is utilized to assess the magnitude of the effects of diverse influencing factors on the acceptance of the technology. The research findings can provide recommendations for the government to expedite the promotion and implementation of cooperative vehicle infrastructure technology.

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Publication Details

Journal
World Electric Vehicle Journal
Published
2024-10-31
DOI
https://doi.org/10.3390/wevj15110500
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00

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article

Analysis of Public Acceptance and Influencing Factors of Cooperative Vehicle Infrastructure Technology

Yuan Yuan, Wei Tao Bai, Linheng Li
World Electric Vehicle Journal
Technology Adoption and User Behaviour
article

Analysis of Public Acceptance and Influencing Factors of Cooperative Vehicle Infrastructure Technology

Yuan Yuan, Wei Tao Bai, Linheng Li
article en

Abstract

Cooperative vehicle infrastructure technology has emerged as a cutting-edge and indispensable trend within the transportation sector. While addressing the supply-side requisites of the technology, it is equally important to investigate its demand-side response. To investigate the public acceptance of cooperative vehicle infrastructure technology and its influencing factors, this paper constructs an extended Technology Acceptance Model (TAM). Then, the paper employs the structural equation model (SEM) to validate the path hypotheses of the model, and pinpoints the variables that significantly influence the intention to use the technology. Moreover, the Bayesian network (BN) model is utilized to assess the magnitude of the effects of diverse influencing factors on the acceptance of the technology. The research findings can provide recommendations for the government to expedite the promotion and implementation of cooperative vehicle infrastructure technology.

World Electric Vehicle JournalVol. 15(11)
Southeast University (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 78%
Technology Adoption and User Behaviour
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Analysis of Public Acceptance and Influencing Factors of Cooperative Vehicle Infrastructure Technology — Yuan Yuan, Wei Tao Bai, et al. · World Electric Vehicle Journal (2024) | TGRS Research Map | TGRS