Optimal Distribution Model of Shared Parking Space in Large Shopping Malls at Night

Abstract

Abstract. 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. IntroductionShared parking is a new technology to solve the parking problem of urban residents based on the idea of "Internet plus". The scientific and rational shared parking organization scheme can improve the utilization rate of parking resources and obtain better economic and social benefits for the regions with large fluctuation of parking demand at different times. Because of the unplanned parking space in the old community, the problem of night parking is getting worse and worse. The old community is usually located in the city center and is usually adjacent to a large number of large commercial areas. The large shopping malls show obvious unbalance of parking demand day and night, and the spare parking berths in the night becomes more. If not utilized effectively, it will cause a great waste of parking resources. The residents near the mall are the potential users of these spare parking spaces. Both the parking supply and the demand for parking are shared by each other through multi-index games such as parking time, walking distance, parking price and so on. Therefore, it is necessary for parking berth providers to establish accurate berth allocation and parking organization model in order to realize the utilization rate of spare parking berths.In the past, scholars have carried out a number of researches on parking demand prediction, berthing resource allocation, berth management and so on. Guo

Influence Mechanism of Urban Staggered Shared Parking Policy on Behavioral Intentions of Users and Providers Based on Extended Planned Behavior Theory

“…Scholars, led by Yao Enjian [9] and Duan Manzhen [10], found that urban parking resources are characterized by complementary relationships and have been devoted to researching many methods to optimize the matching of urban parking resources. Scholars [9][10][11][12][13] firstly proposed optimal allocation algorithms and matching strategies and subsequently [14][15][16][17] proposed multiple kinds of supply and demand matching optimization models based on different research targets. A number of scholars [11,[18][19][20][21] studied the theoretical model of shared parking regarding the price cost, by reasonably allocating the revenue, developing the price mechanism, etc.…”