IDEAS home Printed from https://ideas.repec.org/a/inm/ortrsc/v55y2021i5p1046-1069.html

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
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/trsc.2021.1067
    Download Restriction: no
    File URL: https://libkey.io/10.1287/trsc.2021.1067?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Shoup, Donald C., 2006. "Cruising for parking," Transport Policy, Elsevier, vol. 13(6), pages 479-486, November.
    2. Levy, Nadav & Benenson, Itzhak, 2015. "GIS-based method for assessing city parking patterns," Journal of Transport Geography, Elsevier, vol. 46(C), pages 220-231.
    3. Geroliminis, Nikolas, 2015. "Cruising-for-parking in congested cities with an MFD representation," Economics of Transportation, Elsevier, vol. 4(3), pages 156-165.
    4. 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.
    5. Yan, Xiang & Levine, Jonathan & Marans, Robert, 2019. "The effectiveness of parking policies to reduce parking demand pressure and car use," Transport Policy, Elsevier, vol. 73(C), pages 41-50.
    6. Shoup, Donald C., 1997. "The High Cost of Free Parking," University of California Transportation Center, Working Papers qt25w617n7, University of California Transportation Center.
    7. Renger van Nieuwkoop & Kay Axhausen & Thomas F. Rutherford, 2016. "A traffic equilibrium model with paid-parking search," CER-ETH Economics working paper series 16/236, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    8. Shoup, Donald C., 1997. "The High Cost of Free Parking," University of California Transportation Center, Working Papers qt4vz087cc, University of California Transportation Center.
    9. Pierce, Gregory & Shoup, Donald, 2013. "Getting the Prices Right: An Evaluation of Pricing Parking by Demand in San Francisco," University of California Transportation Center, Working Papers qt2h76j73j, University of California Transportation Center.
    10. Arnott, Richard & Inci, Eren, 2006. "An integrated model of downtown parking and traffic congestion," Journal of Urban Economics, Elsevier, vol. 60(3), pages 418-442, November.
    11. Renger H. van Nieuwkoop & Kay W. Axhausen & Thomas F. Rutherford, 2016. "A Traffic Equilibrium Model with Paid-parking Search," Journal of Transport Economics and Policy, University of Bath, vol. 50(3), pages 262-26-286.
    12. Hunt, J. D. & Teply, S., 1993. "A nested logit model of parking location choice," Transportation Research Part B: Methodological, Elsevier, vol. 27(4), pages 253-265, August.
    13. Cats, Oded & Zhang, Chen & Nissan, Albania, 2016. "Survey methodology for measuring parking occupancy: Impacts of an on-street parking pricing scheme in an urban center," Transport Policy, Elsevier, vol. 47(C), pages 55-63.
    14. Shoup, Donald C., 2006. "Cruising for Parking," University of California Transportation Center, Working Papers qt55s7079f, University of California Transportation Center.
    15. repec:ucp:bkecon:9781884829987 is not listed on IDEAS
    16. Simićević, Jelena & Vukanović, Smiljan & Milosavljević, Nada, 2013. "The effect of parking charges and time limit to car usage and parking behaviour," Transport Policy, Elsevier, vol. 30(C), pages 125-131.
    17. Marsden, Greg, 2006. "The evidence base for parking policies--a review," Transport Policy, Elsevier, vol. 13(6), pages 447-457, November.
    18. Gragera, Albert & Albalate, Daniel, 2016. "The impact of curbside parking regulation on garage demand," Transport Policy, Elsevier, vol. 47(C), pages 160-168.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amaya, Johanna & Reed, Sara, 2025. "Space management policy for urban last-mile parking infrastructure: A demand-oriented approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 200(C).
    2. Fulman, Nir & Memduhoğlu, Abdulkadir & Zipf, Alexander, 2025. "Utilizing large language models to simulate parking search," Transportation Research Part A: Policy and Practice, Elsevier, vol. 199(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Krishnamurthy, Chandra Kiran B. & Ngo, Nicole S., 2020. "The effects of smart-parking on transit and traffic: Evidence from SFpark," Journal of Environmental Economics and Management, Elsevier, vol. 99(C).
    2. Gössling, Stefan & Humpe, Andreas & Hologa, Rafael & Riach, Nils & Freytag, Tim, 2022. "Parking violations as an economic gamble for public space," Transport Policy, Elsevier, vol. 116(C), pages 248-257.
    3. Lehner, Stephan & Peer, Stefanie, 2019. "The price elasticity of parking: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 177-191.
    4. Geva, Sharon & Fulman, Nir & Ben-Elia, Eran, 2022. "Getting the prices right: Drivers' cruising choices in a serious parking game," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 54-75.
    5. Tian, Qiong & Yang, Li & Wang, Chenlan & Huang, Hai-Jun, 2018. "Dynamic pricing for reservation-based parking system: A revenue management method," Transport Policy, Elsevier, vol. 71(C), pages 36-44.
    6. Gu, Ziyuan & Safarighouzhdi, Farshid & Saberi, Meead & Rashidi, Taha H., 2021. "A macro-micro approach to modeling parking," Transportation Research Part B: Methodological, Elsevier, vol. 147(C), pages 220-244.
    7. Parmar, Janak & Saiyed, Gulnazbanu & Dave, Sanjaykumar, 2023. "Analysis of taste heterogeneity in commuters’ travel decisions using joint parking– and mode–choice model: A case from urban India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    8. Jun Li & Sifan Wu & Xiaoman Feng, 2021. "Optimization of On-Street Parking Charges Based on Price Elasticity of the Expected Perceived Parking Cost," Sustainability, MDPI, vol. 13(10), pages 1-13, May.
    9. Leclercq, Ludovic & Sénécat, Alméria & Mariotte, Guilhem, 2017. "Dynamic macroscopic simulation of on-street parking search: A trip-based approach," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 268-282.
    10. Ben-Dor, Golan & Ogulenko, Aleksey & Klein, Ido & Ben-Elia, Eran & Benenson, Itzhak, 2024. "Simulation-based policy evaluation of monetary car driving disincentives in Jerusalem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    11. Cao, Jin & Menendez, Monica, 2018. "Quantification of potential cruising time savings through intelligent parking services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 151-165.
    12. Rodríguez, Andrés & Cordera, Rubén & Alonso, Borja & dell'Olio, Luigi & Benavente, Juan, 2022. "Microsimulation parking choice and search model to assess dynamic pricing scenarios," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 253-269.
    13. Juan Li & Jing Ye & Qinglian He & Chunfu Shao, 2016. "A Novel Scheme to Relieve Parking Pressure at Tourist Attractions on Holidays," Sustainability, MDPI, vol. 8(2), pages 1-11, February.
    14. Niu, Zhipeng & Hu, Xiaowei & Fatmi, Mahmudur & Qi, Shouming & Wang, Siqing & Yang, Haihua & An, Shi, 2023. "Parking occupancy prediction under COVID-19 anti-pandemic policies: A model based on a policy-aware temporal convolutional network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    15. Zhengtian Xu & Xiaotong Sun, 2024. "Economic Analysis of On-Street Parking with Urban Delivery," Transportation Science, INFORMS, vol. 58(6), pages 1300-1318, November.
    16. Chaniotakis, Emmanouil & Pel, Adam J., 2015. "Drivers’ parking location choice under uncertain parking availability and search times: A stated preference experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 228-239.
    17. Zhou, Xizhen & Lv, Mengqi & Ji, Yanjie & Zhang, Shuichao & Liu, Yong, 2023. "Pricing curb parking: Differentiated parking fees or cash rewards?," Transport Policy, Elsevier, vol. 142(C), pages 46-58.
    18. 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.
    19. Tscharaktschiew, Stefan & Reimann, Felix, 2021. "On employer-paid parking and parking (cash-out) policy: A formal synthesis of different perspectives," Transport Policy, Elsevier, vol. 110(C), pages 499-516.
    20. Milosavljević, Nada & Simićević, Jelena, 2016. "User response to parking policy change: A comparison of stated and revealed preference data," Transport Policy, Elsevier, vol. 46(C), pages 40-45.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ortrsc:v:55:y:2021:i:5:p:1046-1069. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.