IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v51y2024i4d10.1007_s11116-022-10370-0.html
   My bibliography  Save this article

A parking pricing scheme considering parking dynamics

Author

Listed:
  • Fang Zong

    (Jilin University)

  • Meng Zeng

    (Zhejiang Normal University
    Zhejiang Normal University)

  • Ping Yu

    (CATARC Automotive Test Center (Tianjin) Co., Ltd. Xianfeng East Road)

Abstract

Powerful parking management approaches are vital in metropolitan areas where parking resource is limited and congestion is severe. To date, parking pricing is considered as an efficient tool for improving parking management by moderating parking demand. Hence, this paper proposes a parking charging method involving both the parking demand and supply. We aggregate the individual parking behaviors into the parking demand and consider the trade-offs between multiple parking behaviors. Then, a maximization problem is formulated to fulfill the benefits of parking demand as well as stabilizing parking supply. The results of case study indicate that the share of parking patterns has shifted positively, and an increment in the total benefit of respondents (5.00%) is obtained. Considering parking dynamics, the proposed method can serve as an effective and feasible manner to equilibrate spatial and temporal distribution of parking demand thereby alleviating parking pressure. This study also makes a methodological contribution to parking pricing policy design.

Suggested Citation

  • Fang Zong & Meng Zeng & Ping Yu, 2024. "A parking pricing scheme considering parking dynamics," Transportation, Springer, vol. 51(4), pages 1349-1371, August.
    • Handle: RePEc:kap:transp:v:51:y:2024:i:4:d:10.1007_s11116-022-10370-0
    DOI: 10.1007/s11116-022-10370-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-022-10370-0
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11116-022-10370-0?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. Piccioni, Cristiana & Valtorta, Marco & Musso, Antonio, 2019. "Investigating effectiveness of on-street parking pricing schemes in urban areas: An empirical study in Rome," Transport Policy, Elsevier, vol. 80(C), pages 136-147.
    2. Rao, Vithala R, 1984. "Pricing Research in Marketing: The State of the Art," The Journal of Business, University of Chicago Press, vol. 57(1), pages 39-60, January.
    3. Zong, Fang & Yu, Ping & Tang, Jinjun & Sun, Xiao, 2019. "Understanding parking decisions with structural equation modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 408-417.
    4. Zakharenko, Roman, 2016. "The time dimension of parking economics," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 211-228.
    5. Romain Petiot, 2004. "Parking enforcement and travel demand management," Post-Print hal-02422664, HAL.
    6. Petiot, Romain, 2004. "Parking enforcement and travel demand management," Transport Policy, Elsevier, vol. 11(4), pages 399-411, October.
    7. Ahmadi Azari, Kian & Arintono, Sulistyo & Hamid, Hussain & Rahmat, Riza Atiq O.K., 2013. "Modelling demand under parking and cordon pricing policy," Transport Policy, Elsevier, vol. 25(C), pages 1-9.
    8. Ottosson, Dadi Baldur & Chen, Cynthia & Wang, Tingting & Lin, Haiyun, 2013. "The sensitivity of on-street parking demand in response to price changes: A case study in Seattle, WA," Transport Policy, Elsevier, vol. 25(C), pages 222-232.
    9. Hensher, David A. & King, Jenny, 2001. "Parking demand and responsiveness to supply, pricing and location in the Sydney central business district," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(3), pages 177-196, March.
    10. 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.
    11. Wang, Tingting & Chen, Cynthia, 2012. "Attitudes, mode switching behavior, and the built environment: A longitudinal study in the Puget Sound Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1594-1607.
    12. 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.
    13. Zheng, Nan & Geroliminis, Nikolas, 2016. "Modeling and optimization of multimodal urban networks with limited parking and dynamic pricing," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 36-58.
    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. Wang, Hao & Li, Ruimin & Wang, Xiaokun (Cara) & Shang, Pan, 2020. "Effect of on-street parking pricing policies on parking characteristics: A case study of Nanning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 65-78.
    2. Inci, Eren, 2015. "A review of the economics of parking," Economics of Transportation, Elsevier, vol. 4(1), pages 50-63.
    3. Najmi, Ali & Bostanara, Maryam & Gu, Ziyuan & Rashidi, Taha H., 2021. "On-street parking management and pricing policies: An evaluation from a system enhancement perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 128-151.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Mo, Baichuan & Kong, Hui & Wang, Hao & Wang, Xiaokun (Cara) & Li, Ruimin, 2021. "Impact of pricing policy change on on-street parking demand and user satisfaction: A case study in Nanning, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 445-469.
    9. Nourinejad, Mehdi & Gandomi, Amir & Roorda, Matthew J., 2020. "Illegal parking and optimal enforcement policies with search friction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    10. Andrés Rodríguez & Luigi dell’Olio & José Luis Moura & Borja Alonso & Rubén Cordera, 2023. "Modelling Parking Choice Behaviour Considering Alternative Availability and Systematic and Random Variations in User Tastes," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    11. Caicedo, Felix & Diaz, Alejandra, 2013. "Case analysis of simultaneous concessions of parking meters and underground parking facilities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 358-378.
    12. 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.
    13. Parmar, Janak & Das, Pritikana & Dave, Sanjaykumar M., 2021. "A machine learning approach for modelling parking duration in urban land-use," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    14. Kadkhodaei, Masoud & Shad, Rouzbeh & Ziaee, Seyed Ali, 2022. "Affecting factors of double parking violations on urban trips," Transport Policy, Elsevier, vol. 120(C), pages 80-88.
    15. Ardeshiri, Ali & Safarighouzhdi, Farshid & Hossein Rashidi, Taha, 2021. "Measuring willingness to pay for shared parking," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 186-202.
    16. Woojung Kim & Xiaokun (Cara) Wang, 2022. "Double parking in New York city: a comparison between commercial vehicles and passenger vehicles," Transportation, Springer, vol. 49(5), pages 1315-1337, October.
    17. 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).
    18. 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.
    19. Zhang, Rong & Zhu, Lichao, 2016. "Curbside parking pricing in a city centre using a threshold," Transport Policy, Elsevier, vol. 52(C), pages 16-27.
    20. Gallo, Mariano & D'Acierno, Luca & Montella, Bruno, 2011. "A multilayer model to simulate cruising for parking in urban areas," Transport Policy, Elsevier, vol. 18(5), pages 735-744, September.

    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:kap:transp:v:51:y:2024:i:4:d:10.1007_s11116-022-10370-0. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.