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Planning and Policy Directions for Autonomous Vehicles in Metropolitan Planning Organizations (MPOs) in the United States

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  • Devon McAslan
  • Max Gabriele
  • Thaddeus R. Miller

Abstract

Autonomous vehicles (AVs) are rapidly emerging in United States cities, leaving urban and regional planning institutions unsure how to plan and develop policies. This paper analyzes how regional transportation plans (RTPs) developed by metropolitan planning organizations (MPOs) are approaching the risks and opportunities presented by AVs. Among 52 MPOs, a majority only mention key issues and emphasize high levels of uncertainty. Twelve MPOs develop policies on infrastructure, safety, partnerships, data-sharing, and multimodal transportation. Despite a positive trend, many recently adopted RTPs do not incorporate AVs. To plan for uncertain mobility futures, MPOs must develop more flexible approaches to long-term infrastructure investment.

Suggested Citation

  • Devon McAslan & Max Gabriele & Thaddeus R. Miller, 2021. "Planning and Policy Directions for Autonomous Vehicles in Metropolitan Planning Organizations (MPOs) in the United States," Journal of Urban Technology, Taylor & Francis Journals, vol. 28(3-4), pages 175-201, October.
    • Handle: RePEc:taf:cjutxx:v:28:y:2021:i:3-4:p:175-201
    DOI: 10.1080/10630732.2021.1944751
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    Cited by:

    1. Yilun Chen & Nirajan Shiwakoti & Peter Stasinopoulos & Shah Khalid Khan, 2022. "State-of-the-Art of Factors Affecting the Adoption of Automated Vehicles," Sustainability, MDPI, vol. 14(11), pages 1-29, May.
    2. Devon McAslan & Farah Najar Arevalo & David A. King & Thaddeus R. Miller, 2021. "Pilot project purgatory? Assessing automated vehicle pilot projects in U.S. cities," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-16, December.
    3. Wai Peng Wong & Muhammad Fahad Anwar & Keng Lin Soh, 2024. "Transportation 4.0 in supply chain management: State-of-the-art and future directions towards 5.0 in the transportation sector," Operations Management Research, Springer, vol. 17(2), pages 683-710, June.
    4. Muhammad Azam & Sitti Asmah Hassan & Othman Che Puan, 2022. "Autonomous Vehicles in Mixed Traffic Conditions—A Bibliometric Analysis," Sustainability, MDPI, vol. 14(17), pages 1-34, August.
    5. Sikai Chen & Shuya Zong & Tiantian Chen & Zilin Huang & Yanshen Chen & Samuel Labi, 2023. "A Taxonomy for Autonomous Vehicles Considering Ambient Road Infrastructure," Sustainability, MDPI, vol. 15(14), pages 1-27, July.

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