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How to Promote the Adoption of Electric Robotaxis: Understanding the Moderating Role of Inclusive Design on Interactive Features

Author

Listed:
  • Chao Gu

    (Academy of Arts & Design, Tsinghua University, Beijing 100084, China)

  • Lie Zhang

    (Academy of Arts & Design, Tsinghua University, Beijing 100084, China)

  • Yingjie Zeng

    (Department of Industrial Design, Honam University, Gwangju 62399, Republic of Korea)

Abstract

In recent years, China has witnessed a growing trend in the adoption of electric robotaxi services, with an increasing number of users beginning to experience this emerging mode of transportation. However, enhancing user willingness to ride remains a core challenge that the electric robotaxi industry urgently needs to address. Our study approached this issue from the perspective of interactive features, surveying 880 respondents and utilizing structural equation modeling to analyze user preferences. The research findings indicate that computer-based entertainment has a significant positive impact on traffic information completeness and social interaction, with a large effect (β > 0.5, p < 0.05), and it also exerts a small positive effect on behavioral intention (β > 0.1, p < 0.05). Traffic information completeness and social interaction have a medium positive effect on behavioral intention (β > 0.3, p < 0.05). In addition, we confirmed that inclusive design, gender, and age have significant moderating effects. Understanding the impact of inclusive design on user behavior can help drive industry changes, creating a more inclusive human–vehicle interaction environment for people with different abilities, such as those with autism. Our study reveals the key factors influencing users’ willingness to ride and offers insights and recommendations for the development and practical application of interactive features in electric robotaxis.

Suggested Citation

  • Chao Gu & Lie Zhang & Yingjie Zeng, 2024. "How to Promote the Adoption of Electric Robotaxis: Understanding the Moderating Role of Inclusive Design on Interactive Features," Sustainability, MDPI, vol. 16(20), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:8882-:d:1498181
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    References listed on IDEAS

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    1. Zhou, Min & Long, Piao & Kong, Nan & Zhao, Lindu & Jia, Fu & Campy, Kathryn S., 2021. "Characterizing the motivational mechanism behind taxi driver’s adoption of electric vehicles for living: Insights from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 134-152.
    2. Farboodi, Maryam & Jarosch, Gregor & Shimer, Robert, 2021. "Internal and external effects of social distancing in a pandemic," Journal of Economic Theory, Elsevier, vol. 196(C).
    3. Jinhee Lee & Joung-Sook Ahn & Seongho Min & Min-Hyuk Kim, 2020. "Psychological Characteristics and Addiction Propensity According to Content Type of Smartphone Use," IJERPH, MDPI, vol. 17(7), pages 1-10, March.
    4. Yi Li & Chongli Wang & Jing Liu, 2020. "A Systematic Review of Literature on User Behavior in Video Game Live Streaming," IJERPH, MDPI, vol. 17(9), pages 1-21, May.
    5. Chung-Ming Chuang, 2020. "A current travel model: smart tour on mobile guide application services," Current Issues in Tourism, Taylor & Francis Journals, vol. 23(18), pages 2333-2352, September.
    6. Fangfang Li & Jorma Larimo & Leonidas C. Leonidou, 2021. "Social media marketing strategy: definition, conceptualization, taxonomy, validation, and future agenda," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 51-70, January.
    7. Kang, Hyo Jeong & Shin, Jung-hye & Ponto, Kevin, 2020. "How 3D Virtual Reality Stores Can Shape Consumer Purchase Decisions: The Roles of Informativeness and Playfulness," Journal of Interactive Marketing, Elsevier, vol. 49(C), pages 70-85.
    Full references (including those not matched with items on IDEAS)

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