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Explaining Commuters’ Acceptance of Autonomous Vehicles Using the UTAUT2 Model: A Case Study of Seoul, South Korea

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  • Edwin A. Vacca

    (Department of Urban and Regional Development, Graduate School of Urban Studies, Hanyang University, Seoul 04763, Republic of Korea)

  • Joonho Ko

    (Department of Urban and Regional Development, Graduate School of Urban Studies, Hanyang University, Seoul 04763, Republic of Korea)

Abstract

This study explores the public acceptance of autonomous vehicles (AVs) using the Unified Theory of Acceptance and Use of Technology 2 framework. Drawing on survey data from 1000 commuters in Seoul, South Korea, this study examines the influence of performance expectations, effort expectations, social influence, hedonic motivation, and facilitating conditions on the behavioral intention to adopt AVs. Structural equation modeling reveals that hedonic motivation (β = 0.56, p < 0.001), price value (β = 0.47, p < 0.001), and performance expectancy (β = 0.64, p < 0.001) are critical determinants of AV acceptance. Additionally, risk perception negatively impacts behavioral intention (β = −0.25, p < 0.001), while policy support (β = 0.51, p < 0.001) and facilitating conditions (β = 0.46, p < 0.001) demonstrate substantial positive influences. Demographic analysis highlights age and gender as significant moderators, with younger users prioritizing performance expectancy and being more sensitive to risk, while older users exhibit a shift from hedonic to utility-driven motivations as they age. Women exhibit greater sensitivity to policy support and economic factors, while men respond more strongly to environmental considerations. In addition, prior experience with advanced driver assistance systems amplifies the influence of enjoyment on facilitating conditions, whereas inexperienced users are more affected by perceived risks. These findings underscore the importance of tailored interventions that address demographic variations, enhance user satisfaction, and balance cost-effectiveness with safety assurances. This study provides insights into actionable strategies for policymakers and industry leaders to promote AV adoption and support the evolution of sustainable urban mobility systems.

Suggested Citation

  • Edwin A. Vacca & Joonho Ko, 2025. "Explaining Commuters’ Acceptance of Autonomous Vehicles Using the UTAUT2 Model: A Case Study of Seoul, South Korea," Sustainability, MDPI, vol. 17(7), pages 1-29, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:7:p:2805-:d:1617609
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    References listed on IDEAS

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    1. Wang, Ning & Tian, Hangqi & Zhu, Shunbo & Li, Yuan, 2022. "Analysis of public acceptance of electric vehicle charging scheduling based on the technology acceptance model," Energy, Elsevier, vol. 258(C).
    2. Jaiswal, Deepak & Kaushal, Vikrant & Kant, Rishi & Kumar Singh, Pankaj, 2021. "Consumer adoption intention for electric vehicles: Insights and evidence from Indian sustainable transportation," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    3. Md. Mokhlesur Rahman & Jean-Claude Thill, 2023. "What Drives People’s Willingness to Adopt Autonomous Vehicles? A Review of Internal and External Factors," Sustainability, MDPI, vol. 15(15), pages 1-29, July.
    4. Peng Jing & Gang Xu & Yuexia Chen & Yuji Shi & Fengping Zhan, 2020. "The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review," Sustainability, MDPI, vol. 12(5), pages 1-26, February.
    5. Haider Ali Abbasi & Satirenjit Kaur Johl & Zullina Bt Hussain Shaari & Wajiha Moughal & Muhammad Mazhar & Muhammad Ali Musarat & Waqas Rafiq & Asaad Salam Farooqi & Alexey Borovkov, 2021. "Consumer Motivation by Using Unified Theory of Acceptance and Use of Technology towards Electric Vehicles," Sustainability, MDPI, vol. 13(21), pages 1-22, November.
    6. Wang, Shanyong & Li, Jun & Zhao, Dingtao, 2017. "The impact of policy measures on consumer intention to adopt electric vehicles: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 14-26.
    7. 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.
    8. Wang, Shanyong & Wang, Jing & Li, Jun & Wang, Jinpeng & Liang, Liang, 2018. "Policy implications for promoting the adoption of electric vehicles: Do consumer’s knowledge, perceived risk and financial incentive policy matter?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 58-69.
    9. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
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