Equalized Utilization Model of Regional Shared Parking Space

Authors

  • Jingzhang Xing
  • Manzhen Duan
  • Xiujie Wei

DOI:

https://doi.org/10.54097/ajst.v4i2.4337

Keywords:

Traffic planning, Shared parking, Genetic algorithm, Balanced utilization of berths.

Abstract

In view of the contradiction between dense parking demand and limited parking resources, according to the time-varying characteristics of parking demand of different building types in the city, a dual objective parking allocation model with the highest equilibrium degree of shared parking utilization and the minimum walking distance was established. The model defines the boundary constraints of the walking distance and the equilibrium utilization, weights the multi-objective function, and then uses the genetic algorithm tool to solve it. Taking Tangshan Second Hospital and its surrounding areas as an example, the basic data such as the total number of parking Spaces, parking demand and walking distance after parking in each parking lot were obtained. The simulation output of parking space utilization and parking allocation in the area was carried out by the simulation algorithm, and the feasibility of the model was verified. The results show that the model can be used to allocate shared parking Spaces in urban areas, which can effectively balance the utilization rate of parking lots in the region and alleviate the problem of uneven and inadequate parking resources utilization in the region.

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References

Ommeren JV, Groote JD, Mingardo G. Residential parkingpermits and parking supply [J]. Regional Science and Urban Economics, 2014,45(1):33-44.

Inga M,Gernot S.Residential parking in vibrant city districts [J]. Economics of Transportation, 2013(2):131-139.

Resha E,Stein H S.Shared parking in the portland metropolitan area [C]/ /Harmonizing Transportation and Community Goals-The Challenge for Today's Transportation Professional. Monterey:ITE,1998:1-6.

Jiang Y,Peng B,Dai L,et al,Parking demand forecasting of urban comprehensive development blocks involving shared parking and location conditions[C].Proceedings of the 3rd International Conference on Transportation Engineering. Chengdu: American Society of Civil Engineers,2011:829-834.

Xue Xingjian, Ou Xinquan, Yan Kefei. Parking demand prediction in new areas based on parking sharing [J]. Urban Transportation, 2010,8 (05): 52-56.

Su Jing, Guan Hongzhi, and Qin Huanmei. Study on the proportion of mixed land parking demand based on the shared utility of berths [J]. Urban Transportation, 2013,11 (03): 42-46.

GUO W,ZHANG Y,XU M,et al.Parking spaces repurchase strategy design via simulation optimization [J].Journal of Intelligent Transportation Systems, 2015,20(3):1-15.

Wang Pengfei, Guan Hongzhi, Liu Peng, Zhao Pengfei, Han Yan, Yue Hao. Distribution of shared parking space-pricing-revenue distribution mechanism [J]. Highway Journal of China, 2020,33 (02): 158-169 + 180.

SHAO C,YANG H,ZHANG Y,et al.A simple reservation and allocation model of shared parking lots [J].Transportation Research Part C:Emerging Technologies,2016,71(8):303-312.

Duan Manzhen, Yang Zhaosheng, Zhang Lin, Tian Xiujuan. Personalized-induced model of shared parking space allocation in residential areas [J]. Journal of Northeastern University (Natural Science Edition), 2017,38 (02): 174-179.

Li Shaoyan. Research on the site selection and implementation strategy of public parking lot in Shenyang city [J]. Transportation and Transportation (Academic edition), 2015 (02): 94-97.

Zhang Wenhui, Su Yongmin, Dai Jing, Wang Lianzhen. Shared parking space allocation model for residential areas [J]. Transportation System Engineering and Information, 2019,19 (01): 89-96.

Liu Zhiguang. Research on sharing time window of parking berths in typical shopping malls in city center [D]. Southeastern University, 2016.

Wang Hao. Research on the shared and open quantity and pricing strategy of residential area berths [D]. Southwest Jiaotong University, 2017.

Zheng Jingheng. Characteristics of parking behavior and optimization method in urban central residential areas based on parking sharing [D]. Southeastern University, 2017.

Chen Qin. Based on the shared parking facility parking permit and the floating charge method [D]. Southeastern University, 2018.

Fu Xingsheng. Study on the parking selection behavior of residential areas considering berth sharing [D]. Harbin Institute of Technology, 2018.

Duan Manzhen. Research on the theory and method of Shared Parking in Residential Areas based on game theory [D]. Jilin University, 2017.

Sun Zhan. Research on parking space sharing configuration method based on time and space quantification analysis [D]. Beijing University of Architecture and Architecture, 2018.

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Published

05-01-2023

How to Cite

Xing, J., Duan, M., & Wei, X. (2023). Equalized Utilization Model of Regional Shared Parking Space. Academic Journal of Science and Technology, 4(2), 162–170. https://doi.org/10.54097/ajst.v4i2.4337

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Section

Articles