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GIS-based method for assessing city parking patterns

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  • Levy, Nadav
  • Benenson, Itzhak

Abstract

Every car trip ends with a parking search and parking. However, current transportation research still lacks practical tools and methodologies to analyze parking needs and dynamics, which cannot be adequately performed at an aggregate level. This paper presents PARKFIT, a novel algorithm for estimating city parking patterns that is based on a spatially explicit high-resolution view of the inherently heterogeneous urban parking demand and supply. Using high-resolution data obtainable from most municipal GIS, we apply PARKFIT to evaluate the fit between overnight parking demand and parking capacity in the city of Bat Yam, both currently and within the framework of the Bat Yam 2030 transportation master plan. We then analyze PARKFIT’s capabilities and limitations, and supply PARKFIT as a free ArcGIS-based software.

Suggested Citation

  • Levy, Nadav & Benenson, Itzhak, 2015. "GIS-based method for assessing city parking patterns," Journal of Transport Geography, Elsevier, vol. 46(C), pages 220-231.
    • Handle: RePEc:eee:jotrge:v:46:y:2015:i:c:p:220-231
    DOI: 10.1016/j.jtrangeo.2015.06.015
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    References listed on IDEAS

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    1. Shoup, Donald C., 2006. "Cruising for parking," Transport Policy, Elsevier, vol. 13(6), pages 479-486, November.
    2. Anderson, Simon P. & de Palma, Andre, 2004. "The economics of pricing parking," Journal of Urban Economics, Elsevier, vol. 55(1), pages 1-20, January.
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    5. Shoup, Donald C., 2006. "Cruising for Parking," University of California Transportation Center, Working Papers qt55s7079f, University of California Transportation Center.
    6. Thompson, Russell G. & Richardson, Anthony J., 1998. "A Parking Search Model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(3), pages 159-170, April.
    7. D'Acierno, Luca & Gallo, Mariano & Montella, Bruno, 2006. "Optimisation models for the urban parking pricing problem," Transport Policy, Elsevier, vol. 13(1), pages 34-48, January.
    8. Gallo, Mariano & D'Acierno, Luca & Montella, Bruno, 2011. "A multilayer model to simulate cruising for parking in urban areas," Transport Policy, Elsevier, vol. 18(5), pages 735-744, September.
    9. Levy, Nadav & Render, Marc & Benenson, Itzhak, 2015. "Spatially explicit modeling of parking search as a tool for urban parking facilities and policy assessment," Transport Policy, Elsevier, vol. 39(C), pages 9-20.
    10. repec:ucp:bkecon:9781884829987 is not listed on IDEAS
    11. Willson, Richard, 2013. "Parking Reform Made Easy," University of California Transportation Center, Working Papers qt8rq839r1, University of California Transportation Center.
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    Citations

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    Cited by:

    1. Carolina Ajeng & Tae-Hyoung Tommy Gim, 2018. "Analyzing on-Street Parking Duration and Demand in a Metropolitan City of a Developing Country: A Case Study of Yogyakarta City, Indonesia," Sustainability, MDPI, vol. 10(3), pages 1-14, February.
    2. Miloš Poliak & Adela Poliaková & Kristián Čulík, 2020. "Impact of the Social Law on Truck Parking Sustainability in the EU," Sustainability, MDPI, vol. 12(22), pages 1-16, November.
    3. Ogulenko, Aleksey & Benenson, Itzhak & Fulman, Nir, 2022. "The nature of the on-street parking search," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 48-68.
    4. Si Chen & Yoonshin Kwak & Le Zhang & Grant Mosey & Brian Deal, 2021. "Tightly Coupling Input Output Economics with Spatio-Temporal Land Use in a Dynamic Planning Support System Framework," Land, MDPI, vol. 10(1), pages 1-17, January.
    5. Clélia Lopez & Chuan-Lin Zhao & Stéphane Magniol & Nicolas Chiabaut & Ludovic Leclercq, 2019. "Microscopic Simulation of Cruising for Parking of Trucks as a Measure to Manage Freight Loading Zone," Sustainability, MDPI, vol. 11(5), pages 1-14, February.

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