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Factors Influencing the Adoption of Shared Autonomous Vehicles

Author

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  • Kum Fai Yuen

    (School of Civil and Environmental Engineering, Nanyang Technological University, Singapore 639798, Singapore)

  • Do Thi Khanh Huyen

    (Department of International Logistics, Chung-Ang University, Seoul 06974, Korea)

  • Xueqin Wang

    (Department of International Logistics, Chung-Ang University, Seoul 06974, Korea)

  • Guanqiu Qi

    (Department of International Logistics, Chung-Ang University, Seoul 06974, Korea)

Abstract

Shared autonomous vehicles (SAVs), which have several potential benefits, are an emerging innovative technology in the market. However, the successful operation of SAVs largely depends on the extent of travellers’ intention to adopt them. This study aims to analyse the factors that influence the adoption of SAVs by integrating two theoretical perspectives: the unified theory of acceptance and use of technology 2 (UTAUT2) and the theory of planned behaviour (TPB). A valid survey sample of 268 participants in Da Nang, Vietnam was collected. Subsequently, structural equation modelling was deployed to test the research model. The results indicate that the five dimensions of UTUAT2: performance expectation, effort expectation, habit, price value and hedonic motivation, are mediated by the attitudes toward using SAVs. Further, the TPB constructs, namely attitude, subject norm, perceived behavioural control, along with its perceived facilitating conditions, are all effective predictors of intention to use SAVs. The findings of this study can serve as a crucial resource for transport operators and the government to enhance transportation services and policies.

Suggested Citation

  • Kum Fai Yuen & Do Thi Khanh Huyen & Xueqin Wang & Guanqiu Qi, 2020. "Factors Influencing the Adoption of Shared Autonomous Vehicles," IJERPH, MDPI, vol. 17(13), pages 1-17, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:13:p:4868-:d:380979
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    References listed on IDEAS

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    3. Wei Luo & Silong Wei & Yi Wang & Pengpeng Jiao, 2023. "People’s Intentions to Use Shared Autonomous Vehicles: An Extended Theory of Planned Behavior Model," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    4. Yang Liao & Hanying Guo & Xinju Liu, 2023. "A Study of Young People’s Intention to Use Shared Autonomous Vehicles: A Quantitative Analysis Model Based on the Extended TPB-TAM," Sustainability, MDPI, vol. 15(15), pages 1-21, August.
    5. Faisal, Asif & Yigitcanlar, Tan & Paz, Alexander, 2023. "Understanding driverless car adoption: Random parameters ordered probit model for Brisbane, Melbourne and Sydney," Journal of Transport Geography, Elsevier, vol. 110(C).
    6. Wu, Min & Yuen, Kum Fai, 2023. "Initial trust formation on shared autonomous vehicles: Exploring the effects of personality-, transfer- and performance-based stimuli," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    7. Mohammadhossein Abbasi & Amir Reza Mamdoohi & Grzegorz Sierpiński & Francesco Ciari, 2023. "Usage Intention of Shared Autonomous Vehicles with Dynamic Ride Sharing on Long-Distance Trips," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    8. Giovanni Baldi & Antonietta Megaro & Luca Carrubbo, 2022. "Small-Town Citizens’ Technology Acceptance of Smart and Sustainable City Development," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    9. Singha Chaveesuk & Wornchanok Chaiyasoonthorn & Nayika Kamales & Zdzislawa Dacko-Pikiewicz & Wiesław Liszewski & Bilal Khalid, 2023. "Evaluating the Determinants of Consumer Adoption of Autonomous Vehicles in Thailand—An Extended UTAUT Model," Energies, MDPI, vol. 16(2), pages 1-22, January.
    10. Wu, Min & Wang, Nanxi & Yuen, Kum Fai, 2023. "Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    11. Zaisheng Zhang & Meng Liu & Qing Yang, 2021. "Examining the External Antecedents of Innovative Work Behavior: The Role of Government Support for Talent Policy," IJERPH, MDPI, vol. 18(3), pages 1-17, January.

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