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The nature of the on-street parking search

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  • Ogulenko, Aleksey
  • Benenson, Itzhak
  • Fulman, Nir

Abstract

Parking occupancy in a delineated area is defined by three major parameters – the rate of car arrivals, the dwell time of already parked cars, and the willingness of drivers to continue their search for a vacant parking spot. We investigate a series of theoretical and numeric models, both deterministic and stochastic, that describe parking dynamics in an area as dependent on these parameters, over the entire spectrum of the demand-to-supply ratio, focusing on the case when the demand is close to or above the supply.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transb:v:166:y:2022:i:c:p:48-68
    DOI: 10.1016/j.trb.2022.10.007
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    References listed on IDEAS

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    1. Levy, Nadav & Benenson, Itzhak, 2015. "GIS-based method for assessing city parking patterns," Journal of Transport Geography, Elsevier, vol. 46(C), pages 220-231.
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    8. Alemi, Farzad & Rodier, Caroline & Drake, Christiana, 2018. "Cruising and on-street parking pricing: A difference-in-difference analysis of measured parking search time and distance in San Francisco," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 187-198.
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    Cited by:

    1. Saki, Siavash & Hagen, Tobias, 2024. "Cruising for parking again: Measuring the ground truth and using survival analysis to reveal the determinants of the duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    2. Abdelghaffar, Hossam M. & Batista, S.F.A. & Rehman, Abdur & Cao, Jin & Menéndez, Mónica & Jabari, Saif Eddin, 2024. "Comparison of probabilistic cruising-for-parking time estimation models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).

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