会议论文详细信息
2018 2nd International Workshop on Renewable Energy and Development
Optimal Distribution Model of Shared Parking Space in Large Shopping Malls at Night
能源学;经济学
Yu, Jingwei^1 ; Wan, Qian^1,2,3 ; Li, Zhibin^1
School of Architecture, Southeast University, Nanjing
210096, China^1
Hualan Design and Consulting Group, Hua Dong Lu #39, Nanning
530011, China^2
Guilin University of Electronic Technology, Jinjilu #1, Guilin
541004, China^3
关键词: Berth allocation problem;    Construction process;    First come first served;    Integer linear programming models;    Optimal distributions;    Parking management;    Parking resources;    Profit maximization;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/153/3/032006/pdf
DOI  :  10.1088/1755-1315/153/3/032006
来源: IOP
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【 摘 要 】

With the increase of car ownership year by year, the difficult phenomenon of parking space has attracted more and more attention from the society. Especially in the old residential area, the problem of night parking is becoming more and more serious due to the unplanned parking space in the construction process. Therefore, the efficient parking management strategy at night is becoming the focus of academic research. Aiming at this problem, this paper first analyzes the shared berth allocation problem, and takes the profit maximization of shared parking lots as the goal, and proposes an integer linear programming model for shared parking berths at large shopping malls at night. Finally, according to the characteristics of spare parking berths at the commercial area, we design an experiment based on the profit and parking berth utilization rate of the platform operators. Then, we compare the experimental results with the first come first served distribution plan to verify the effectiveness of the model. The results show that this model not only brings huge benefits to the parking management platform operators, but also makes full use of the spare parking places in the large shopping malls, improves the utilization rate of the parking lots at the commercial area, and makes the parking resources allocated reasonably.

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