The role of environmental concern in the public acceptance of autonomous electric vehicles: A survey from China
By Jingwen Wu, Hua Liao, Jin-Wei Wang, Tianqi Chen. Transportation Research Part F: Traffic Psychology and Behaviour, 2019
434 citations recorded by the source corpus.
Abstract The development of electric vehicles (EVs) and autonomous vehicles (AVs) has made great progress and been expected to play an important role in a future transport system. Some researchers have explored the potential impacts of autonomous electric vehicles (AEVs), while few have focused on the public attitude towards AEVs. This paper aims to understand the public acceptance of AEVs through the application of Technology Acceptance Model. Considering the potential environmental benefits of AEVs, this study concentrates on how environmental concern affects AEVs acceptance. Data is collected from an online survey in China and analyzed by a structural model. The results indicate that green perceived usefulness, perceived ease of use and environmental concern have a positive relationship with people’s intentions to use AEVs. Environmental concern poses a powerful indirect effect on using intention through mediating effects. Implications for improving the public acceptance of AEVs and suggestions for further research are given correspondingly in this study.
Subfields: Information Systems and Management, Management Science and Operations Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/9efb03af621ef456ef99e18adbc23f244bd74cb0
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Citations in the corpus
- Consumers’ Intention to Purchase Electric Vehicles: Influences of User Attitude and Perception (2021, methodology): “For example, Wu et al., 2019 [17] explored factors affecting the public acceptance of autonomous EVs by using data collected from an online survey in China.”
- Factors influencing autonomous vehicle adoption: an application of the technology acceptance model and innovation diffusion theory (2020, background): “Extensive research has been conducted to investigate the e ff ects of PEOU and PU on behavioural intention across multiple fi elds (Wu et al. 2019; Zhang et al. 2019).”