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The impacts of automated vehicles on Center city parking

Author

Listed:
  • Chai, Huajun
  • Rodier, Caroline J.
  • Song, Jeffery W.
  • Zhang, Michael H.
  • Jaller, Miguel

Abstract

The potential for automated vehicles (AVs) to reduce parking in central cities has generated much excitement among urban planners. AVs could drop-off (DO), and pick-up (PU) passengers in areas where parking costs are high: personal AVs could return home or park in less expensive locations, and shared AVs could serve other passengers. Reduced on-street and off-street parking present numerous opportuni- ties for redevelopment that could improve the livability of cities, for example, more street and sidewalk space for pedestrian and bicycle travel. However, reduced de- mand for parking would be accompanied by increased demand for curbside DO/PU space with related movements to enter and exit the flow of traffic. This change could be particularly challenging for traffic flows in downtown urban areas during peak hours, where high volumes of DOs and PUs are likely to occur. Only limited research examines the travel effects of a shift from parking to DO/PU travel and the impact of changes in parking supply. Our study uses a microscopic road traffic model with local travel activity data to simulate personal AV parking scenarios in San Francisco’s downtown central business district (CBD). In these scenarios, we vary (1) the demand for DO and PU travel versus parking, (2) the supply of on-street and off-street parking, and (3) the total demand for parking and DO/PU travel due to an increase in the cost to travel to the CBD.

Suggested Citation

  • Chai, Huajun & Rodier, Caroline J. & Song, Jeffery W. & Zhang, Michael H. & Jaller, Miguel, 2023. "The impacts of automated vehicles on Center city parking," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    • Handle: RePEc:eee:transa:v:175:y:2023:i:c:s0965856423001842
    DOI: 10.1016/j.tra.2023.103764
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    References listed on IDEAS

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    1. Geroliminis, Nikolas, 2015. "Cruising-for-parking in congested cities with an MFD representation," Economics of Transportation, Elsevier, vol. 4(3), pages 156-165.
    2. Millard-Ball, Adam, 2019. "The autonomous vehicle parking problem," Transport Policy, Elsevier, vol. 75(C), pages 99-108.
    3. Imhof, Sebastian & Frölicher, Jonas & von Arx, Widar, 2020. "Shared Autonomous Vehicles in rural public transportation systems," Research in Transportation Economics, Elsevier, vol. 83(C).
    4. Nourinejad, Mehdi & Bahrami, Sina & Roorda, Matthew J., 2018. "Designing parking facilities for autonomous vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 110-127.
    5. Zhang, Xiang & Liu, Wei & Waller, S. Travis & Yin, Yafeng, 2019. "Modelling and managing the integrated morning-evening commuting and parking patterns under the fully autonomous vehicle environment," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 380-407.
    6. Kley, Fabian & Lerch, Christian & Dallinger, David, 2011. "New business models for electric cars--A holistic approach," Energy Policy, Elsevier, vol. 39(6), pages 3392-3403, June.
    7. Khordagui, Nagwa, 2019. "Parking prices and the decision to drive to work: Evidence from California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 479-495.
    8. Shoup, Donald C., 2006. "Cruising for Parking," University of California Transportation Center, Working Papers qt55s7079f, University of California Transportation Center.
    9. Albert, Gila & Mahalel, David, 2006. "Congestion tolls and parking fees: A comparison of the potential effect on travel behavior," Transport Policy, Elsevier, vol. 13(6), pages 496-502, November.
    10. Rodier, Caroline & Jaller, Miguel & Pourrahmani, Elham & Bischoff, Joschka & Freedman, Joel & Pahwa, Anmol, 2018. "Automated Vehicle Scenarios: Simulation of System-Level Travel Effects Using Agent-Based Demand and Supply Models in the San Francisco Bay Area," Institute of Transportation Studies, Working Paper Series qt4dk3n531, Institute of Transportation Studies, UC Davis.
    11. Nourinejad, Mehdi & Roorda, Matthew J., 2017. "Impact of hourly parking pricing on travel demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 28-45.
    12. Zhang, Wenwen & Wang, Kaidi, 2020. "Parking futures: Shared automated vehicles and parking demand reduction trajectories in Atlanta," Land Use Policy, Elsevier, vol. 91(C).
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