IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v141y2023icp331-339.html
   My bibliography  Save this article

Prediction model for drivers' tendency to perpetrate a double parking violation on urban trips

Author

Listed:
  • Kadkhodaei, Masoud
  • Shad, Rouzbeh
  • Ziaee, Seyed Ali
  • Kadkhodaei, Mohsen

Abstract

Illegal parking during peak hours and on heavily traveled streets can significantly impact the severity of traffic congestion and related problems. A double parking violation is among the most significant instances of illegal parking. Double parking violations reduce road capacity and increase traffic congestion. Intensified traffic congestion also increases travel time and reduces road user satisfaction. Thus, the management of double parking violations is critical to managing traffic congestion in urban streets. In this study, the factors influencing the drivers' tendency to perpetrate a double parking violation were identified using the ordinal logistic regression model in the central area of Mashhad. Then, by redesigning the ordinal logistic regression model and utilizing the identified effective factors, a model was developed to predict the level of drivers' propensity to perpetrate a double parking violation during urban trips. Mashhad is one of the largest cities in Iran, and its central district experiences a high volume of daily traffic. The results indicated that parking duration is the main factor affecting drivers' propensity to perpetrate a double parking violation. Driver education level and driver presence in the vehicle ranked second and third, respectively. The P-value in the goodness-of-fit test was obtained at less than 0.05, indicating the designed model's acceptable accuracy.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:trapol:v:141:y:2023:i:c:p:331-339
    DOI: 10.1016/j.tranpol.2023.08.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X2300210X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tranpol.2023.08.001?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. Kobus, Martijn B.W. & Gutiérrez-i-Puigarnau, Eva & Rietveld, Piet & Van Ommeren, Jos N., 2013. "The on-street parking premium and car drivers' choice between street and garage parking," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 395-403.
    2. Arnott, Richard & Inci, Eren & Rowse, John, 2015. "Downtown curbside parking capacity," Journal of Urban Economics, Elsevier, vol. 86(C), pages 83-97.
    3. Hasnine, Md Sami & Habib, Khandker Nurul, 2020. "Transportation demand management (TDM) and social justice: A case study of differential impacts of TDM strategies on various income groups," Transport Policy, Elsevier, vol. 94(C), pages 1-10.
    4. Arnott, Richard & Williams, Parker, 2017. "Cruising for parking around a circle," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 357-375.
    5. 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).
    6. Shoup, Donald C., 2006. "Cruising for Parking," University of California Transportation Center, Working Papers qt55s7079f, University of California Transportation Center.
    7. Simićević, Jelena & Vukanović, Smiljan & Milosavljević, Nada, 2013. "The effect of parking charges and time limit to car usage and parking behaviour," Transport Policy, Elsevier, vol. 30(C), pages 125-131.
    8. Mei, Zhenyu & Feng, Chi & Ding, Wenchao & Zhang, Lihui & Wang, Dianhai, 2019. "Better lucky than rich? Comparative analysis of parking reservation and parking charge," Transport Policy, Elsevier, vol. 75(C), pages 47-56.
    9. 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.
    10. Dalla Chiara, Giacomo & Goodchild, Anne, 2020. "Do commercial vehicles cruise for parking? Empirical evidence from Seattle," Transport Policy, Elsevier, vol. 97(C), pages 26-36.
    11. Alemi, Farzad & Rodier, Caroline & Drake, Christiana, 2018. "Cruising and on-street parking pricing: A difference-in-difference analysis of measured parking search time and distance in San Francisco," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 187-198.
    12. Inci, Eren, 2015. "A review of the economics of parking," Economics of Transportation, Elsevier, vol. 4(1), pages 50-63.
    13. Ramadan, Ahmed & Roorda, Matthew, 2016. "Impacts of Illegal On-Street Parking on Toronto's CBD Congestion," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319289, Transportation Research Forum.
    14. Fabusuyi, Tayo & Hampshire, Robert C., 2018. "Rethinking performance based parking pricing: A case study of SFpark," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 90-101.
    15. 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.
    16. 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.
    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. 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.
    2. 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.
    3. 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.
    4. Jun Li & Sifan Wu & Xiaoman Feng, 2021. "Optimization of On-Street Parking Charges Based on Price Elasticity of the Expected Perceived Parking Cost," Sustainability, MDPI, vol. 13(10), pages 1-13, May.
    5. 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.
    6. 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.
    7. Inci, Eren, 2015. "A review of the economics of parking," Economics of Transportation, Elsevier, vol. 4(1), pages 50-63.
    8. 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.
    9. 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.
    10. 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.
    11. Parmar, Janak & Saiyed, Gulnazbanu & Dave, Sanjaykumar, 2023. "Analysis of taste heterogeneity in commuters’ travel decisions using joint parking– and mode–choice model: A case from urban India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    12. Gragera, Albert & Albalate, Daniel, 2016. "The impact of curbside parking regulation on garage demand," Transport Policy, Elsevier, vol. 47(C), pages 160-168.
    13. 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.
    14. Krishnamurthy, Chandra Kiran B. & Ngo, Nicole S., 2020. "The effects of smart-parking on transit and traffic: Evidence from SFpark," Journal of Environmental Economics and Management, Elsevier, vol. 99(C).
    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. 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.
    17. Dalla Chiara, Giacomo & Goodchild, Anne, 2020. "Do commercial vehicles cruise for parking? Empirical evidence from Seattle," Transport Policy, Elsevier, vol. 97(C), pages 26-36.
    18. 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).
    19. 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.
    20. 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.

    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:trapol:v:141:y:2023:i:c:p:331-339. 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/30473/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.