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Optimizing the use of public garages: Pricing parking by demand

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  • Pierce, Gregory
  • Willson, Hank
  • Shoup, Donald

Abstract

Many cities build public garages at great cost but with scant public scrutiny or economic analysis. Other than aiming to recover the cost of debt service and operations, cities appear to have few clear policy aims in managing these garages. In this paper, we outline how U.S. cities currently manage off-street parking structures under their control. We argue that this management largely ignores the logic of both economics and public benefits. We also make the conceptual case for how cities should manage their parking assets to maximize public benefits. Finally, we examine the most promising example of off-street parking public management, using data from 14 garages included in San Francisco's SFpark program. We find that SFpark increased the public use of garages by more than a third, reduced the average price for drivers, and maintained a stable revenue stream for the city.

Suggested Citation

  • Pierce, Gregory & Willson, Hank & Shoup, Donald, 2015. "Optimizing the use of public garages: Pricing parking by demand," Transport Policy, Elsevier, vol. 44(C), pages 89-95.
    • Handle: RePEc:eee:trapol:v:44:y:2015:i:c:p:89-95
    DOI: 10.1016/j.tranpol.2015.07.003
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    References listed on IDEAS

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    1. Chatman, Daniel G. & Manville, Michael, 2014. "Theory versus implementation in congestion-priced parking: An evaluation of SFpark, 2011–2012," Research in Transportation Economics, Elsevier, vol. 44(C), pages 52-60.
    2. Arnott, Richard, 2006. "Spatial competition between parking garages and downtown parking policy," Transport Policy, Elsevier, vol. 13(6), pages 458-469, November.
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    4. 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.
    5. Raha Akhavan-Tabatabaei & Manuel Bolívar & Jorge Hincapie & Andrés Medaglia, 2014. "On the optimal parking lot subscription policy problem: a hybrid simulation-optimization approach," Annals of Operations Research, Springer, vol. 222(1), pages 29-44, November.
    6. Philip Ashton & Marc Doussard & Rachel Weber, 2012. "The Financial Engineering of Infrastructure Privatization," Journal of the American Planning Association, Taylor & Francis Journals, vol. 78(3), pages 300-312.
    7. 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.
    8. Lawrence R. Weatherford & Samuel E. Bodily, 1992. "A Taxonomy and Research Overview of Perishable-Asset Revenue Management: Yield Management, Overbooking, and Pricing," Operations Research, INFORMS, vol. 40(5), pages 831-844, October.
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    Cited by:

    1. Semeneh Hunachew Bayih & Surafel Luleseged Tilahun, 2024. "Dynamic vehicle parking pricing. A review," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 34(1), pages 35-59.
    2. Zhong Wang & Rui Xu, 2022. "Price Controls and Platform Ecosystem: A Comparative Analysis of Parking Applications between Beijing and London," Sustainability, MDPI, vol. 14(9), pages 1-17, May.
    3. Shao, Saijun & Xu, Su Xiu & Yang, Hai & Huang, George Q., 2020. "Parking reservation disturbances," Transportation Research Part B: Methodological, Elsevier, vol. 135(C), pages 83-97.
    4. Zhang, Rong & Zhu, Lichao, 2016. "Curbside parking pricing in a city centre using a threshold," Transport Policy, Elsevier, vol. 52(C), pages 16-27.
    5. Macea, Luis F. & Serrano, Iván & Carcache-Guas, Camila, 2023. "A reservation-based parking behavioral model for parking demand management in urban areas," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    6. Qiao‐Chu He & Tiantian Nie & Yun Yang & Zuo‐Jun Shen, 2021. "Beyond Repositioning: Crowd‐Sourcing and Geo‐Fencing for Shared‐Mobility Systems," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3448-3466, October.
    7. Yen, Barbara T.H. & Mulley, Corinne & Burke, Matthew & Tseng, Wen-Chun, 2020. "Parking and restaurant business: Differences in business perceptions and customer travel behaviour in Brisbane, Queensland, Australia," Land Use Policy, Elsevier, vol. 92(C).
    8. Gabbe, C.J. & Pierce, Gregory & Clowers, Gordon, 2020. "Parking policy: The effects of residential minimum parking requirements in Seattle," Land Use Policy, Elsevier, vol. 91(C).
    9. Lin, XuXun & Yuan, PengCheng, 2018. "A dynamic parking charge optimal control model under perspective of commuters’ evolutionary game behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1096-1110.
    10. Ding, Heng & Qian, Yu & Zheng, Xiaoyan & Bai, Haijian & Wang, Shiguang & Zhou, Jingwen, 2022. "Dynamic parking charge–perimeter control coupled method for a congested road network based on the aggregation degree characteristics of parking generation distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).

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