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Cruising for parking around a circle

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  • Arnott, Richard
  • Williams, Parker

Abstract

Several recent papers have used the approximation that the number of curbside parking spaces searched before finding a vacant space equals the reciprocal of the expected curbside vacancy rate. The implied expected cruising-for-parking times are significantly lower than those that have been obtained through observation and simulation. Through computer simulation of cars cruising for parking around a circle in stochastic steady state, this paper shows that the approximation leads to underestimation of expected cruising-for-parking time and, at high occupancy rates, considerable underestimation. The paper also identifies several “effects” that contribute to the approximation being an increasingly poor one as the occupancy rate increases.

Suggested Citation

  • Arnott, Richard & Williams, Parker, 2017. "Cruising for parking around a circle," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 357-375.
    • Handle: RePEc:eee:transb:v:104:y:2017:i:c:p:357-375
    DOI: 10.1016/j.trb.2017.07.009
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    References listed on IDEAS

    as
    1. Arnott, Richard & Inci, Eren & Rowse, John, 2015. "Downtown curbside parking capacity," Journal of Urban Economics, Elsevier, vol. 86(C), pages 83-97.
    2. Arnott, Richard & Williams, Parker, 2017. "Cruising for parking around a circle," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 357-375.
    3. Shoup, Donald C., 2006. "Cruising for Parking," University of California Transportation Center, Working Papers qt55s7079f, University of California Transportation Center.
    4. Arnott, Richard & Rowse, John, 2009. "Downtown parking in auto city," Regional Science and Urban Economics, Elsevier, vol. 39(1), pages 1-14, January.
    5. 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.
    6. Arnott, Richard, 2014. "On the optimal target curbside parking occupancy rate," Economics of Transportation, Elsevier, vol. 3(2), pages 133-144.
    7. Du, Lili & Gong, Siyuan, 2016. "Stochastic Poisson game for an online decentralized and coordinated parking mechanism," Transportation Research Part B: Methodological, Elsevier, vol. 87(C), pages 44-63.
    8. repec:ucp:bkecon:9781884829987 is not listed on IDEAS
    9. Arnott, Richard & Rowse, John, 1999. "Modeling Parking," Journal of Urban Economics, Elsevier, vol. 45(1), pages 97-124, January.
    10. Shoup, Donald C., 2006. "Cruising for parking," Transport Policy, Elsevier, vol. 13(6), pages 479-486, November.
    11. Geroliminis, Nikolas, 2015. "Cruising-for-parking in congested cities with an MFD representation," Economics of Transportation, Elsevier, vol. 4(3), pages 156-165.
    12. Arnott, Richard & Rowse, John, 2013. "Curbside parking time limits," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 89-110.
    13. Gregory Pierce & Donald Shoup, 2013. "Getting the Prices Right," Journal of the American Planning Association, Taylor & Francis Journals, vol. 79(1), pages 67-81, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Jin Xie & Xiaofei Ye & Zhongzhen Yang & Xingchen Yan & Lili Lu & Zhen Yang & Tao Wang, 2019. "Impact of Risk and Benefit on the Suppliers’ and Managers’ Intention of Shared Parking in Residential Areas," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    2. Wei Wang & Yuwei Zhou & Jianbin Liu & Baofeng Sun, 2022. "On-Street Cruising for Parking Model in Consideration with Gaming Elements and Its Impact Analysis," Mathematics, MDPI, vol. 10(19), pages 1-17, September.
    3. Gu, Ziyuan & Li, Yifan & Saberi, Meead & Rashidi, Taha H. & Liu, Zhiyuan, 2023. "Macroscopic parking dynamics and equitable pricing: Integrating trip-based modeling with simulation-based robust optimization," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 354-381.
    4. Sfyridis, Alexandros & Agnolucci, Paolo, 2020. "Annual average daily traffic estimation in England and Wales: An application of clustering and regression modelling," Journal of Transport Geography, Elsevier, vol. 83(C).
    5. Millard-Ball, Adam & Hampshire, Robert C. & Weinberger, Rachel, 2020. "Parking behaviour: The curious lack of cruising for parking in San Francisco," Land Use Policy, Elsevier, vol. 91(C).
    6. Phuc Hai Hoang & Shengchuan Zhao & Siv Eng Houn, 2019. "Motorcycle Drivers’ Parking Lot Choice Behaviors in Developing Countries: Analysis to Identify Influence Factors," Sustainability, MDPI, vol. 11(9), pages 1-15, April.
    7. 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.
    8. Arnott, Richard & Williams, Parker, 2017. "Cruising for parking around a circle," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 357-375.
    9. 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.
    10. 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.
    11. Yating Zhu & Xiaofei Ye & Jun Chen & Xingchen Yan & Tao Wang, 2020. "Impact of Cruising for Parking on Travel Time of Traffic Flow," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    12. Zakharenko, Roman, 2019. "The economics of parking occupancy sensors," Economics of Transportation, Elsevier, vol. 17(C), pages 14-23.
    13. Assemi, Behrang & Baker, Douglas & Paz, Alexander, 2020. "Searching for on-street parking: An empirical investigation of the factors influencing cruise time," Transport Policy, Elsevier, vol. 97(C), pages 186-196.
    14. Zakharenko, Roman, 2020. "The merits of privileged parking," Transportation Research Part B: Methodological, Elsevier, vol. 140(C), pages 193-209.
    15. 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.
    16. Kadkhodaei, Masoud & Shad, Rouzbeh & Ziaee, Seyed Ali & Kadkhodaei, Mohsen, 2023. "Prediction model for drivers' tendency to perpetrate a double parking violation on urban trips," Transport Policy, Elsevier, vol. 141(C), pages 331-339.
    17. Shoup, Donald, 2021. "Pricing curb parking," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 399-412.
    18. Xinliu Sui & Xiaofei Ye & Tao Wang & Xingchen Yan & Jun Chen & Bin Ran, 2022. "Microscopic Simulating the Impact of Cruising for Parking on Traffic Efficiency and Emission with Parking-and-Visit Test Data," IJERPH, MDPI, vol. 19(15), pages 1-26, July.

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    More about this item

    Keywords

    Curbside parking; Stochastic simulation; Poisson process; Steady state;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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