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Approximation Method for Estimating Search Times for On-Street Parking

Author

Listed:
  • Nir Fulman

    (Geosimulation Laboratory, Department of Geography and Human Environment, Porter School of the Environment and Earth Sciences, Tel Aviv University, Tel Aviv 6139001, Israel)

  • Itzhak Benenson

    (Geosimulation Laboratory, Department of Geography and Human Environment, Porter School of the Environment and Earth Sciences, Tel Aviv University, Tel Aviv 6139001, Israel)

Abstract

We propose an approximation method for estimating the probability p ( τ , n ) of searching for on-street parking longer than time τ from the start of a parking search near a given destination n based on high-resolution maps of parking demand and supply in a city. We verify the method by comparing its outcomes to the estimates obtained with an agent-based simulation model of on-street parking search. As a practical example, we construct maps of cruising time for the Israeli city of Bat Yam and demonstrate that, despite the low overall demand-to-supply ratio of 0.65, excessive demand in the city center results in a significant share of parking searches that last longer than 5 or even 10 minutes. We discuss the application of the proposed approach for urban planning.

Suggested Citation

  • Nir Fulman & Itzhak Benenson, 2021. "Approximation Method for Estimating Search Times for On-Street Parking," Transportation Science, INFORMS, vol. 55(5), pages 1046-1069, September.
    • Handle: RePEc:inm:ortrsc:v:55:y:2021:i:5:p:1046-1069
    DOI: 10.1287/trsc.2021.1067
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