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What is the public really concerned about the AV crash? Insights from a combined analysis of social media and questionnaire survey

Author

Listed:
  • Jing, Peng
  • Wang, Baihui
  • Cai, Yunhao
  • Wang, Bichen
  • Huang, Jiahui
  • Yang, Chenglu
  • Jiang, Chengxi

Abstract

Autonomous vehicles (AVs) will bring considerable benefits to individuals and society, while the process of AVs' popularity may not always be smooth. Sometimes crashes are unavoidable, which could hinder the widespread acceptance of AVs. Although previous studies have investigated factors that affect AV acceptance, few of them pay attention to the impact of accidents and not to mention quantitative analysis. This study aims to explore what the public is really concerned about the AV crash and whether it significantly affects the public's behavioral intention to use AVs utilizing a multi-method analytical approach, including latent Dirichlet allocation, structural equation model, and Bayesian network. We employed a qualitative exploratory analysis to identify the topics of social media data about AV crashes and proposed an integrated framework using variables originating from topics. We introduced perceived severity in AV acceptance research to cater to the context of AV crashes. The findings reveal how trust, attitude, knowledge, perceived risk, media exposure, and perceived severity affect the public acceptance of AVs and how differences exist between full automation and driver assistance. This research helps to provide theoretical contributions and practical implications to reduce the negative effect of AV crashes and improve public acceptance of AVs.

Suggested Citation

  • Jing, Peng & Wang, Baihui & Cai, Yunhao & Wang, Bichen & Huang, Jiahui & Yang, Chenglu & Jiang, Chengxi, 2023. "What is the public really concerned about the AV crash? Insights from a combined analysis of social media and questionnaire survey," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    • Handle: RePEc:eee:tefoso:v:189:y:2023:i:c:s0040162523000562
    DOI: 10.1016/j.techfore.2023.122371
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    References listed on IDEAS

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    1. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
    2. Thomas Leicht & Anis Chtourou & Kamel Ben Youssef, 2018. "Consumer innovativeness and intentioned autonomous car adoption," Post-Print hal-02511554, HAL.
    3. Fagnant, Daniel J. & Kockelman, Kara, 2015. "Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 167-181.
    4. Chen, Tianyi & Wong, Yiik Diew & Shi, Xiupeng & Wang, Xueqin, 2022. "Optimized structure learning of Bayesian Network for investigating causation of vehicles’ on-road crashes," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    5. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    6. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    7. Ahn, Jiwoon & Jeong, Gicheol & Kim, Yeonbae, 2008. "A forecast of household ownership and use of alternative fuel vehicles: A multiple discrete-continuous choice approach," Energy Economics, Elsevier, vol. 30(5), pages 2091-2104, September.
    8. Peng Jing & Hao Huang & Bin Ran & Fengping Zhan & Yuji Shi, 2019. "Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    9. Luo, Shuli & He, Sylvia Y., 2021. "Understanding gender difference in perceptions toward transit services across space and time: A social media mining approach," Transport Policy, Elsevier, vol. 111(C), pages 63-73.
    10. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    11. Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2017. "Psychological roadblocks to the adoption of self-driving vehicles," Nature Human Behaviour, Nature, vol. 1(10), pages 694-696, October.
    12. Nastjuk, Ilja & Herrenkind, Bernd & Marrone, Mauricio & Brendel, Alfred Benedikt & Kolbe, Lutz M., 2020. "What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    13. Artur Lugmayr, 2017. "Information systems research in the media industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(1), pages 7-8, February.
    14. Bennett, Roger & Vijaygopal, Rohini & Kottasz, Rita, 2019. "Attitudes towards autonomous vehicles among people with physical disabilities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 1-17.
    15. Alvarez León, Luis F. & Aoyama, Yuko, 2022. "Industry emergence and market capture: The rise of autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    16. Artur Lugmayr & Johanna Grueblbauer, 2017. "Review of information systems research for media industry–recent advances, challenges, and introduction of information systems research in the media industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(1), pages 33-47, February.
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