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An Analysis of the Use of Autonomous Vehicles in the Shared Mobility Market: Opportunities and Challenges

Author

Listed:
  • Lin Tu

    (Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong)

  • Min Xu

    (Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong)

Abstract

The rapid growth of the sharing economy has propelled shared mobility to the forefront of the public’s attention. Continuous advancements in autonomous driving technology also bring new opportunities and challenges to the shared mobility industry. This study comprehensively analyzes the impact of using land-based autonomous vehicles (AVs) to provide shared mobility services, utilizing SWOT analysis (Strengths, Weaknesses, Opportunities, and Threats), PESTLE analysis (Political, Economic, Social, Technological, Legal, and Environmental), and Porter’s Five Forces (the bargaining power of suppliers, the bargaining power of buyers, threats of new entrants, substitutes, and rivalry). The findings reveal that AVs can provide improved shared mobility services by increasing transportation safety, reducing emissions, reducing costs, enhancing traffic efficiency, and increasing customer satisfaction as well as the profitability of shared mobility services. However, challenges such as technological and policy uncertainties, safety concerns, high initial costs, inadequate public communication infrastructure, and the absence of standardized regulations can hinder the widespread adoption of AVs. The benefits are also restricted by the low market penetration rate of AVs. To promote AVs in the shared mobility market, this study also provides implications for AV stakeholders tailored to the evolving shared mobility market dynamics.

Suggested Citation

  • Lin Tu & Min Xu, 2024. "An Analysis of the Use of Autonomous Vehicles in the Shared Mobility Market: Opportunities and Challenges," Sustainability, MDPI, vol. 16(16), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:6795-:d:1452338
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    References listed on IDEAS

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    1. Adam Stocker & Susan Shaheen, 2017. "Shared Automated Vehicles: Review of Business Models," International Transport Forum Discussion Papers 2017/09, OECD Publishing.
    2. 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.
    3. Liu, Zhiyong & Li, Ruimin & Dai, Jingchen, 2022. "Effects and feasibility of shared mobility with shared autonomous vehicles: An investigation based on data-driven modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 206-226.
    4. Richard A. Epstein, 2021. "Liability rules for autonomous vehicles," Journal of Entrepreneurship and Public Policy, Emerald Group Publishing Limited, vol. 10(2), pages 218-234, March.
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    Cited by:

    1. Bergantino, Angela Stefania & Danielis, Romeo & Intini, Mario & Rotaris, Lucia & Scorrano, Mariangela & Xu, Chenchen, 2026. "Barriers to peer-to-peer car sharing adoption and strategic pathways forward: a comprehensive literature review with meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 206(C).
    2. Yuansheng Cao & Yonggang Liao & Jiancong Lai & Tianjie Shen & Xiaofei Wang, 2024. "Study on the Deviation Characteristics of Driving Trajectories for Autonomous Vehicles and the Design of Dedicated Lane Widths," Sustainability, MDPI, vol. 16(21), pages 1-18, October.
    3. Tymoteusz Miller & Irmina Durlik & Ewelina Kostecka & Adrianna Łobodzińska & Marcin Matuszak, 2024. "The Emerging Role of Artificial Intelligence in Enhancing Energy Efficiency and Reducing GHG Emissions in Transport Systems," Energies, MDPI, vol. 17(24), pages 1-31, December.

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