IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i8p4211-d533263.html
   My bibliography  Save this article

Analysis of the System of Controlling Paid Parking Zones

Author

Listed:
  • Maciej Kozłowski

    (Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland)

  • Andrzej Czerepicki

    (Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland)

  • Piotr Jaskowski

    (Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland)

  • Kamil Aniszewski

    (Municipal Road Administration in Warsaw, 00-801 Warsaw, Poland)

Abstract

Urban traffic can be curbed in various ways, for instance, by introducing paid unguarded parking zones (PUPZ). The operational functionality of this system depends on whether or not the various system features used to document parking cases function properly, including those which enable positioning of vehicles parked in the PUPZ, recognition of plate numbers, event time recording, and the correct anonymisation of persons and other vehicles. The most fundamental problem of this system is its reliability, understood as the conformity of control results with the actual state of matters. This characteristic can be studied empirically, and this article addresses the methodology proposed for such an examination, discussed against a case study. The authors have analysed the statistical dependence of the e-control system’s measurement errors based on operational data. The results of this analysis confirm the rationale behind the deployment of the e-control system under the implementation of the smart city concept in Warsaw.

Suggested Citation

  • Maciej Kozłowski & Andrzej Czerepicki & Piotr Jaskowski & Kamil Aniszewski, 2021. "Analysis of the System of Controlling Paid Parking Zones," Sustainability, MDPI, vol. 13(8), pages 1-12, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4211-:d:533263
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/8/4211/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/8/4211/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhenyu Mei & Chi Feng & Liang Kong & Lihui Zhang & Jun Chen, 2020. "Assessment of Different Parking Pricing Strategies: A Simulation-based Analysis," Sustainability, MDPI, vol. 12(5), pages 1-13, March.
    2. repec:cdl:uctcwp:qt55s7079f is not listed on IDEAS
    3. Elżbieta Macioszek & Agata Kurek, 2021. "The Analysis of the Factors Determining the Choice of Park and Ride Facility Using a Multinomial Logit Model," Energies, MDPI, vol. 14(1), pages 1-33, January.
    4. Shoup, Donald C., 2006. "Cruising for parking," Transport Policy, Elsevier, vol. 13(6), pages 479-486, November.
    5. 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.
    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. Piotr Jaskowski & Piotr Tomczuk & Marcin Chrzanowicz, 2022. "Construction of a Measurement System with GPS RTK for Operational Control of Street Lighting," Energies, MDPI, vol. 15(23), pages 1-22, December.
    2. Paweł Dobrzański & Magdalena Dobrzańska, 2025. "Sustainable Consumption in Urban Transport: A Case Study of a Selected European Union City," Sustainability, MDPI, vol. 17(13), pages 1-21, July.

    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. Semeneh Hunachew Bayih & Surafel Luleseged Tilahun, 2025. "Dynamic vehicle parking pricing: a bilevel optimization approach," Operational Research, Springer, vol. 25(1), pages 1-25, March.
    2. Ismael, Abdelrahman & Holguín-Veras, José, 2025. "Optimal parking allocation for heterogeneous vehicle types," Transportation Research Part A: Policy and Practice, Elsevier, vol. 192(C).
    3. 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.
    4. Huanmei Qin & Ning Xu & Yonghuan Zhang & Qianqian Pang & Zhaolin Lu, 2023. "Research on Parking Recommendation Methods Considering Travelers’ Decision Behaviors and Psychological Characteristics," Sustainability, MDPI, vol. 15(8), pages 1-22, April.
    5. 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.
    6. Simona Mikšíková & David Ulčák & František Kuda, 2022. "Analysis of Malfunctions in Selected Parking Systems in the Czech Republic," Sustainability, MDPI, vol. 14(3), pages 1-10, February.
    7. Wang, Rui & Yuan, Quan, 2013. "Parking practices and policies under rapid motorization: The case of China," Transport Policy, Elsevier, vol. 30(C), pages 109-116.
    8. Francis Ostermeijer & Hans RA Koster & Leonardo Nunes & Jos van Ommeren, 2021. "Citywide parking policy and traffic: Evidence from Amsterdam," Tinbergen Institute Discussion Papers 21-015/VIII, Tinbergen Institute.
    9. Mariusz Korzeń & Maciej Kruszyna, 2023. "Modified Ant Colony Optimization as a Means for Evaluating the Variants of the City Railway Underground Section," IJERPH, MDPI, vol. 20(6), pages 1-15, March.
    10. Abhishek, & Legros, Benjamin & Fransoo, Jan C., 2021. "Performance evaluation of stochastic systems with dedicated delivery bays and general on-street parking," Other publications TiSEM 09ed9572-d59c-4f28-a9c4-b, Tilburg University, School of Economics and Management.
    11. Ostermeijer, Francis & Koster, Hans & Nunes, Leonardo & van Ommeren, Jos, 2022. "Citywide parking policy and traffic: Evidence from Amsterdam," Journal of Urban Economics, Elsevier, vol. 128(C).
    12. Groote, Jesper De & Ommeren, Jos Van & Koster, Hans R.A., 2016. "Car ownership and residential parking subsidies: Evidence from Amsterdam," Economics of Transportation, Elsevier, vol. 6(C), pages 25-37.
    13. Xianyuan Zhu & Duanya Lyu & Jianmin Xu & Yongjie Lin, 2025. "Travel Characteristics and Cost–Benefit Analysis of Bikeshare Service on University Campuses," Sustainability, MDPI, vol. 17(8), pages 1-16, April.
    14. Batara Surya & Hamsina Hamsina & Ridwan Ridwan & Baharuddin Baharuddin & Firman Menne & Andi Tenri Fitriyah & Emil Salim Rasyidi, 2020. "The Complexity of Space Utilization and Environmental Pollution Control in the Main Corridor of Makassar City, South Sulawesi, Indonesia," Sustainability, MDPI, vol. 12(21), pages 1-41, November.
    15. Haohao Qu & Sheng Liu & Jun Li & Yuren Zhou & Rui Liu, 2022. "Adaptation and Learning to Learn (ALL): An Integrated Approach for Small-Sample Parking Occupancy Prediction," Mathematics, MDPI, vol. 10(12), pages 1-19, June.
    16. Premaratne Samaranayake & Upul Gunawardana, 2022. "Parking Assessment in the Context of Growing Construction Activity and Infrastructure Changes: Simulation of Impact Scenarios," Sustainability, MDPI, vol. 14(9), pages 1-28, April.
    17. Feng, Jianghong & Xu, Su Xiu & Xu, Gangyan & Cheng, Huibing, 2022. "An integrated decision-making method for locating parking centers of recyclable waste transportation vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    18. 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.
    19. 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.
    20. Wang, Pengfei & Guan, Hongzhi & Liu, Peng, 2020. "Modeling and solving the optimal allocation-pricing of public parking resources problem in urban-scale network," Transportation Research Part B: Methodological, Elsevier, vol. 137(C), pages 74-98.

    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:gam:jsusta:v:13:y:2021:i:8:p:4211-:d:533263. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.