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Advancing Sustainable Urban Mobility: Public Acceptance and Perceived Risks of Autonomous Vehicle Deployment in Dubai

Author

Listed:
  • Dalia Hafiz

    (College of Architecture, Art, and Design, Ajman University, Ajman P.O. Box 346, United Arab Emirates)

  • Qing Hou

    (Department of Urban and Regional Planning, University of Florida, Gainesville, FL 32601, USA)

  • Ismail Zohdy

    (Roads and Transport Authority, Dubai P.O. Box 118899, United Arab Emirates)

Abstract

Background: Understanding public acceptance of autonomous vehicles (AVs) is essential for cities transitioning toward smart mobility systems. Dubai aims to transform 25% of trips to autonomous mode by year 2030, yet little is known about residents’ readiness. Methods: An online survey (N = 302; 2024/2025) measured awareness, perceived benefits/risks, trust, cybersecurity concerns, and behavioral intention (BI). Constructs were analyzed using descriptive statistics and regression. Results: Cybersecurity concern was the strongest negative predictor of BI, while perceived usefulness (accident reduction) showed a weak, marginal positive effect. Gender, age, and cost effects were not statistically significant. Conclusions: Public acceptance is shaped more by trust, safety perception, and perceived system reliability than by demographics or cost. Policy actions should focus on transparent regulation, cybersecurity audits, and public AV pilots.

Suggested Citation

  • Dalia Hafiz & Qing Hou & Ismail Zohdy, 2025. "Advancing Sustainable Urban Mobility: Public Acceptance and Perceived Risks of Autonomous Vehicle Deployment in Dubai," Sustainability, MDPI, vol. 17(24), pages 1-22, December.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:24:p:11021-:d:1813847
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