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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
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    References listed on IDEAS

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    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.
    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.
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