IDEAS home Printed from https://ideas.repec.org/a/eee/transb/v140y2020icp193-209.html
   My bibliography  Save this article

The merits of privileged parking

Author

Listed:
  • Zakharenko, Roman

Abstract

The paper investigates under what conditions it is optimal to exclude some motorists searching for parking from occupying a vacant parking bay. Privileged parking is found to be optimal if motorists are heterogenous and can steer their search towards or away from such parking. The socially optimal allocation of privileges and search strategies are characterized. The second-best pricing policies in the presence of cruising-for-parking externality are described; short-term parkers should always be allowed to take the first vacant bay they find. A model extension studies technologically modified “special needs” parking. Unlike existing policies that make such parking exclusive for special-needs motorists, the optimal policy makes it available for an extra fee to anyone, while increasing the number of special-needs bays so that even the initial users are better off.

Suggested Citation

  • Zakharenko, Roman, 2020. "The merits of privileged parking," Transportation Research Part B: Methodological, Elsevier, vol. 140(C), pages 193-209.
    • Handle: RePEc:eee:transb:v:140:y:2020:i:c:p:193-209
    DOI: 10.1016/j.trb.2020.08.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0191261520303817
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.trb.2020.08.008?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Anderson, Simon P. & de Palma, Andre, 2004. "The economics of pricing parking," Journal of Urban Economics, Elsevier, vol. 55(1), pages 1-20, January.
    2. Arnott, Richard & Inci, Eren & Rowse, John, 2015. "Downtown curbside parking capacity," Journal of Urban Economics, Elsevier, vol. 86(C), pages 83-97.
    3. Arnott, Richard & Williams, Parker, 2017. "Cruising for parking around a circle," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 357-375.
    4. Zakharenko, Roman, 2016. "The time dimension of parking economics," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 211-228.
    5. Arnott, Richard, 2006. "Spatial competition between parking garages and downtown parking policy," Transport Policy, Elsevier, vol. 13(6), pages 458-469, November.
    6. Fosgerau, Mogens, 2015. "Congestion in the bathtub," Economics of Transportation, Elsevier, vol. 4(4), pages 241-255.
    7. Inci, Eren & Lindsey, Robin, 2015. "Garage and curbside parking competition with search congestion," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 49-59.
    8. Gragera, Albert & Albalate, Daniel, 2016. "The impact of curbside parking regulation on garage demand," Transport Policy, Elsevier, vol. 47(C), pages 160-168.
    9. Arnott, Richard & Rowse, John, 2013. "Curbside parking time limits," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 89-110.
    10. Arnott, Richard, 2013. "A bathtub model of downtown traffic congestion," Journal of Urban Economics, Elsevier, vol. 76(C), pages 110-121.
    11. Zakharenko, Roman, 2016. "Self-driving cars will change cities," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 26-37.
    12. Zakharenko, Roman, 2019. "The economics of parking occupancy sensors," Economics of Transportation, Elsevier, vol. 17(C), pages 14-23.
    Full references (including those not matched with items on IDEAS)

    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. Inci, Eren, 2015. "A review of the economics of parking," Economics of Transportation, Elsevier, vol. 4(1), pages 50-63.
    2. 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.
    3. Albalate, Daniel & Gragera, Albert, 2017. "The determinants of garage prices and their interaction with curbside regulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 86-97.
    4. Zakharenko, Roman, 2019. "The economics of parking occupancy sensors," Economics of Transportation, Elsevier, vol. 17(C), pages 14-23.
    5. Inci, Eren & Lindsey, Robin, 2015. "Garage and curbside parking competition with search congestion," Regional Science and Urban Economics, Elsevier, vol. 54(C), pages 49-59.
    6. Gragera, Albert & Hybel, Jesper & Madsen, Edith & Mulalic, Ismir, 2021. "A model for estimation of the demand for on-street parking," Economics of Transportation, Elsevier, vol. 28(C).
    7. Eren Inci & Jos van Ommeren & Martijn Kobus, 2017. "The external cruising costs of parking," Journal of Economic Geography, Oxford University Press, vol. 17(6), pages 1301-1323.
    8. Kevin Hasker & Eren Inci, 2014. "Free Parking For All In Shopping Malls," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(4), pages 1281-1304, November.
    9. Brudner, Amir, 2023. "On the management of residential on-street parking: Policies and repercussions," Transport Policy, Elsevier, vol. 138(C), pages 94-107.
    10. 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.
    11. Nourinejad, Mehdi & Roorda, Matthew J., 2017. "Impact of hourly parking pricing on travel demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 98(C), pages 28-45.
    12. Premaratne Samaranayake & Upul Gunawardana & Michael Stokoe, 2023. "Kerbside Parking Assessment Using a Simulation Modelling Approach for Infrastructure Planning—A Metropolitan City Case Study," Sustainability, MDPI, vol. 15(4), pages 1-24, February.
    13. De Borger, Bruno & Russo, Antonio, 2017. "The political economy of pricing car access to downtown commercial districts," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 76-93.
    14. Liu, Wei & Geroliminis, Nikolas, 2016. "Modeling the morning commute for urban networks with cruising-for-parking: An MFD approach," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 470-494.
    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. Arnott, Richard & Inci, Eren & Rowse, John, 2015. "Downtown curbside parking capacity," Journal of Urban Economics, Elsevier, vol. 86(C), pages 83-97.
    17. Pons-Rigat, Aleix & Proost, Stef & Turró, Mateu, 2020. "Workplace parking policies in an agglomeration: An illustration for Barcelona," Economics of Transportation, Elsevier, vol. 24(C).
    18. Takayama, Yuki & Kuwahara, Masao, 2016. "Scheduling preferences, parking competition, and bottleneck congestion: A model of trip timing and parking location choices by heterogeneous commuters," MPRA Paper 68938, University Library of Munich, Germany.
    19. Arnott, Richard, 2014. "On the optimal target curbside parking occupancy rate," Economics of Transportation, Elsevier, vol. 3(2), pages 133-144.
    20. Amer, Ahmed & Chow, Joseph Y.J., 2017. "A downtown on-street parking model with urban truck delivery behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 51-67.

    More about this item

    Keywords

    Privileged parking; Loading zones; Congestion pricing; Cruising for parking;
    All these keywords.

    JEL classification:

    • H42 - Public Economics - - Publicly Provided Goods - - - Publicly Provided Private Goods
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

    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:eee:transb:v:140:y:2020:i:c:p:193-209. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/548/description#description .

    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.