IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i24p16936-d1302285.html
   My bibliography  Save this article

Towards Smart Parking Management: Econometric Analysis and Modeling of Public-Parking-Choice Behavior in Three Cities of Binh Duong, Vietnam

Author

Listed:
  • Nguyen Viet Long

    (Faculty of Economics, Thu Dau Mot University, Thu Dau Mot 820900, Vietnam)

  • Hoang Thuy Linh

    (Faculty of Civil Engineering, University of Transport and Communications, No.3 Cau Giay Street, Lang Thuong Ward, Dong Da District, Hanoi 100000, Vietnam)

  • Vu Anh Tuan

    (Vietnamese–German Transport Research Centre, Vietnamese–German University, Ring Road 4, Quarter 4, Thoi Hoa Ward, Ben Cat 284769, Vietnam)

Abstract

In developing cities, newly emerging cities have started facing the problem of insufficient public parking facilities and ineffective regulations. To support the planning, design and management of the public parking system towards a smart and sustainable city vision, it is necessary to study deeply parking behaviors. This paper presents an empirical study on parking-choice behaviors of motorcycle users and car users in the emerging cities of developing countries through a case study of three cities in Binh Duong, Vietnam. To explore the behavioral mechanisms and influential factors, the multinomial logit parking choice models are developed using revealed preference and stated preference data. The users’ overall satisfaction and perceived importance of parking lot design and service aspects are analyzed using order logistic regression. The revealed choices show no trade-off between parking fee and walking distance, as the users are not fully aware of parking locations and service features. However, the stated choice experiments prove a potential existence of the trade-off mechanism and differentiate significant factors in the decision of choices for the two user groups. The results bring insightful implications for the development of a smart public parking system.

Suggested Citation

  • Nguyen Viet Long & Hoang Thuy Linh & Vu Anh Tuan, 2023. "Towards Smart Parking Management: Econometric Analysis and Modeling of Public-Parking-Choice Behavior in Three Cities of Binh Duong, Vietnam," Sustainability, MDPI, vol. 15(24), pages 1-22, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:24:p:16936-:d:1302285
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/24/16936/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/24/16936/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guo, Zhan, 2013. "Does residential parking supply affect household car ownership? The case of New York City," Journal of Transport Geography, Elsevier, vol. 26(C), pages 18-28.
    2. 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.
    3. Hunt, J. D. & Teply, S., 1993. "A nested logit model of parking location choice," Transportation Research Part B: Methodological, Elsevier, vol. 27(4), pages 253-265, August.
    4. John Golias & George Yannis & Michel Harvatis, 2002. "Off-Street Parking Choice Sensitivity," Transportation Planning and Technology, Taylor & Francis Journals, vol. 25(4), pages 333-348, January.
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    6. Huanmei Qin & Jianqiang Gao & Hongzhi Guan & Hongbo Chi, 2017. "Estimating heterogeneity of car travelers on mode shifting behavior based on discrete choice models," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(8), pages 914-927, November.
    7. Antolín, Gonzalo & Ibeas, Ángel & Alonso, Borja & dell'Olio, Luigi, 2018. "Modelling parking behaviour considering users heterogeneities," Transport Policy, Elsevier, vol. 67(C), pages 23-30.
    8. Chen, Ching-Fu & Lai, Wen-Tai, 2011. "The effects of rational and habitual factors on mode choice behaviors in a motorcycle-dependent region: Evidence from Taiwan," Transport Policy, Elsevier, vol. 18(5), pages 711-718, September.
    9. 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.
    10. 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.
    11. Hoang Thuy Linh & Nguyen Hoang-Tung & Vu Anh Tuan & Muhammad Adnan & Tom Bellemans, 2022. "Heterogeneity in behavioural response to pricing policies in the transition from motorcycles to private cars in motorcycle-based societies," Transportation Planning and Technology, Taylor & Francis Journals, vol. 45(4), pages 311-334, May.
    12. Michele Ottomanelli & Mauro Dell'Orco & Domenico Sassanelli, 2011. "Modelling parking choice behaviour using Possibility Theory," Transportation Planning and Technology, Taylor & Francis Journals, vol. 34(7), pages 647-667, April.
    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. Navid Nadimi & Mohammad Ali Zayandehroodi & Rosalia Camporeale & Morteza Asadamraji, 2023. "A Framework for Providing Information about Parking Spaces," Sustainability, MDPI, vol. 15(19), pages 1-16, October.
    2. Kappenberger, Jakob & Stuckenschmidt, Heiner & Gerdon, Frederic, 2025. "Pricing parking for fairness — A simulation study based on an empirically calibrated model of parking behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 193(C).
    3. 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.
    4. 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.
    5. Gürcan Sarısoy & Hüseyin Onur Tezcan, 2024. "Does Parking Type Preference Behavior Differ According to Whether It Is Paid or Free? A Case Study in Istanbul, Türkiye," Sustainability, MDPI, vol. 16(17), pages 1-25, August.
    6. Janak Parmar & Gulnazbanu Saiyed & Sanjaykumar Dave, 2021. "Analysis of taste heterogeneity in commuters travel decisions using joint parking and mode choice model: A case from urban India," Papers 2109.01045, arXiv.org, revised Oct 2023.
    7. 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.
    8. Zhang, Rong & Zhu, Lichao, 2016. "Curbside parking pricing in a city centre using a threshold," Transport Policy, Elsevier, vol. 52(C), pages 16-27.
    9. Zhang, Xinying & Pitera, Kelly & Wang, Yuanqing, 2024. "Exploring parking choices under the coexistence of autonomous and conventional vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 636(C).
    10. Bi, Hui & Ye, Zhirui & Hu, Liyang & Zhu, He, 2021. "Why they don't choose bus service? Understanding special online car-hailing behavior near bus stops," Transport Policy, Elsevier, vol. 114(C), pages 280-297.
    11. 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).
    12. Kirschner, Franziska & Lanzendorf, Martin, 2020. "Support for innovative on-street parking policies: empirical evidence from an urban neighborhood," Journal of Transport Geography, Elsevier, vol. 85(C).
    13. 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).
    14. 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.
    15. Fowri, Hamid R. & Seyedabrishami, Seyedehsan, 2020. "Assessment of urban transportation pricing policies with incorporation of unobserved heterogeneity," Transport Policy, Elsevier, vol. 99(C), pages 12-19.
    16. Ibeas, A. & dell’Olio, L. & Bordagaray, M. & Ortúzar, J. de D., 2014. "Modelling parking choices considering user heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 41-49.
    17. Scheiner, Joachim & Faust, Nico & Helmer, Johannes & Straub, Michael & Holz-Rau, Christian, 2020. "What's that garage for? Private parking and on-street parking in a high-density urban residential neighbourhood," Journal of Transport Geography, Elsevier, vol. 85(C).
    18. 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.
    19. Fang Zong & Meng Zeng & Ping Yu, 2024. "A parking pricing scheme considering parking dynamics," Transportation, Springer, vol. 51(4), pages 1349-1371, August.
    20. 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.

    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:15:y:2023:i:24:p:16936-:d:1302285. 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.