An investigation on parking location choice behavior for the cities of Binh Duong
Email:
hoangthuylinh@utc.edu.vn
Keywords:
parking behavior, parking management, illegal parking, multinomial logit model, parking location choice
Abstract
The increased parking demand is resulted from a high dependence on private motorized transport in Vietnamese urban areas. The planning and design of parking facilities should take into account the residents’ parking behavior to balance parking supply and demand. This paper presents a study on parking behavior for new central urban areas through case studies in Thu Dau Mot City, Thuan An City and Di An City of Binh Duong province. The stated preference approach and multinomial logit model are adopted to analyze the impacts of parking lot attributes on parking behavior. The results have shown that walking distance to parking location, parking price, parking duration and the type of parked vehicle are the most significant factors. Several parking service features are also significant to the choice of parking locations. Therefore, planning of parking locations should take into acount the trade-off effect between the distance and parking pricing scheme. Parking lots should be designed to offer the users with security and facilities in accordance with vehicle type and parking durationReferences
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[2]. S.B. Hassine, R. Mraihi, A. Lachiheb, E. Kooli, Modelling parking type choice behavior, International Journal of Transportation Science and Technology, 11(2022) 653–64. https://doi.org/10.1016/j.ijtst.2021.09.002.
[3]. J. Parmar, P. Das, S.M. Dave, Study on demand and characteristics of parking system in urban areas: A review, Journal of Traffic and Transportation Engineering (English Edition), 7 (2020) 111–24. https://doi.org/10.1016/j.jtte.2019.09.003.
[4]. K.W. Axhausen, J.W. Polak, Choice of parking: Stated preference approach, Transportation, 18 (1991) 59–81. https://doi.org/10.1007/BF00150559.
[5]. D.B. Ottosson, C. Chen, T. Wang, H. Lin, The sensitivity of on-street parking demand in response to price changes: A case study in Seattle, WA, Transport Policy, 25 (2013) 222–32. https://doi.org/10.1016/j.tranpol.2012.11.013.
[6]. J. Golias, G. Yannis, M. Harvatis, Off-Street Parking Choice Sensitivity, Transportation Planning and Technology 25(2002) 333–48. https://doi.org/10.1080/0308106022000019620.
[7]. Y. Han, W. Huang, X. Wu, G. Yang, Parking Location Choice Model in Mixed Residential and Commercial Land Considering Parking Sharing Policy, (2018) 3543–50. https://doi.org/10.1061/9780784480915.370.
[8]. G. Antolín, A. Ibeas, B. Alonso, L. Dell’Olio, Modelling parking behaviour considering users heterogeneities, Transport Policy, 67 (2018) 23–30. https://doi.org/10.1016/j.tranpol.2018.01.014.
[9]. L. Guo, S. Huang, J. Zhuang, A.W. Sadek, Modeling Parking Behavior Under Uncertainty: A Static Game Theoretic versus a Sequential Neo-additive Capacity Modeling Approach, Netw Spat Econ, 13 (2013) 327–350. https://doi.org/10.1007/s11067-012-9183-1.
[10]. R.A. Waraich, K.W. Axhausen, Agent-Based Parking Choice Model, Transportation Research Record, 2319(2012) 39–46. https://doi.org/10.3141/2319-05.
[11]. M. Ottomanelli, M. Dell’Orco, D. Sassanelli, Modelling parking choice behaviour using Possibility Theory, Transportation Planning and Technology, 34 (2011) 647–667. https://doi.org/10.1080/03081060.2011.602846.
[12]. V.A Tuan, Analysis of Illegal Parking Behavior in Hanoi City, Journal of the Eastern Asia Society for Transportation Studies, 12(2017) 421–437. https://doi.org/10.11175/easts.12.421.
[13]. V.M Phúc, T.V. Tao, V.T. Cang, On-street Parking Management in Megacity: Case Study of Central Area of Ho Chi Minh City, International Journal of Mechanical Engineering and Applications, 7(2019) 136. https://doi.org/10.11648/j.ijmea.20190706.12.
[14]. T.T. ONLINE, Bình Dương 25 năm phát triển (1997-2022): Nỗ lực kết nối vùng, thu hút đầu tư, TUOI TRE ONLINE 2021. https://tuoitre.vn/news-20211228083934991.htm (accessed March 22, 2023).
[15]. Ch. Emmanouil, J.P. Adam, Drivers’ parking location choice under uncertain parking availability and search times: A stated preference experiment, Transportation Research Part A: Policy and Practice, 82(2015) 228–239. https://doi.org/10.1016/j.tra.2015.10.004.
[16]. X. Ye, C. Yang, T. Wang, X. Yan, S. Li, J. Chen, Research on parking app choice behavior based on MNL, Travel Behaviour and Society, 25 (2021) 174–182. https://doi.org/10.1016/j.tbs.2021.07.007.
[17]. H. Qin, J. Gao, H. Guan, H. Chi, Estimating heterogeneity of car travelers on mode shifting behavior based on discrete choice models, Transportation Planning and Technology, 40 (2017) 914–927. https://doi.org/10.1080/03081060.2017.1355886.
[18]. Y. Lin, C. Su, L. Zhu, A Novel Parking Guidance and Management System: A Case Study for Jinan, China, (2015) 281–295. https://doi.org/10.1061/9780784479292.026.
[19]. J.D. Hunt, S. Teply, A nested logit model of parking location choice, Transportation Research Part B: Methodological 27(1993) 253–265. https://doi.org/10.1016/0191-2615(93)90035-9.
[20]. T.A. Domencich, D. McFadden, Urban travel demand - a behavioral analysis, 1975. https://trid.trb.org/view/48594
[21]. K.E. Train, Discrete Choice Methods with Simulation 2nd ed, Cambridge: Cambrigde, UK: Cambridge University Press, 2009.
[22]. D.A. Hensher, Stated preference analysis of travel choices: the state of practice, Transportation, 21 (1994) 107–133. https://doi.org/10.1007/BF01098788.
[23]. J.J. Louviere, D.A. Hensher, J.D. Swait, Stated Choice Methods: Analysis and Applications, Cambridge: Cambrigde, UK: Cambridge University Press, 2000. https://doi.org/10.1017/CBO9780511753831.
[24]. M. Bierlaire, Short introduction to PandasBiogeme, Lausanne, Switzerland: Transport and Mobility Laboratory, ENAC, EPFL; 2020.
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Received
21/12/2022
Revised
29/03/2023
Accepted
14/04/2023
Published
15/04/2023
Type
Research Article
How to Cite
Vũ Anh, T., & Hoàng Thùy, L. (1681491600). An investigation on parking location choice behavior for the cities of Binh Duong. Transport and Communications Science Journal, 74(3), 346-360. https://doi.org/10.47869/tcsj.74.3.9
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