Research On Urban Shared Parking Capacity Allocation In Stochastic Traffic Network Equilibrium Environment

The promotion and application of shared parking can effectively alleviate the problem of imbalance between the supply and demand of urban parking resources.However,the research on shared parking lacks the study of user travel choice behavior and berth capacity allocation from the perspective of urban transportation network,and ignores the impact of shared parking on user travel mode choice and urban road network.Therefore,in order to avoid problems such as congestion and air pollution caused by uneven distribution of shared berth capacity,this paper conducts a study on the distribution of shared parking capacity under a random traffic network balanced distribution environment.The main contents are arranged as follows:First,explain the definition of parking demand and shared parking demand,and analyze the three parking characteristics of parking space vacancy rate,turnover rate,and parking demand distribution.Then explain the influencing factors of shared parking demand.Quantify the four main influencing factors of location advantage,bus travel ratio,berth utilization rate and building mixing.Based on the parking generation rate,a shared parking demand prediction model is constructed,and the Wuyue Plaza Complex and Yaohan Complex in Changzhou Xincheng are used as actual examples to prove the effectiveness of the model.Secondly,the traffic network users are divided into shared parking and ordinary parking users.Respectively,the parking impedance function is established,and then the parking probability selection function is established based on the nested Logit(NL)structure model.The two types of parking for shared parking and ordinary parking are constructed.The stochastic user equilibrium model of travel mode is solved by the Method of Successive Average(MSA).The result analysis found that when the booking fee changed from 4 yuan to 12 yuan,the demand for shared parking dropped from 378 to 320,and the demand for ordinary parking rose from 222 to 280.When the walking time changes from 0.05 h to 0.1h,the demand for shared parking and ordinary parking remain basically unchanged,and the ratio between different reservation fees and parking charges also affects travelers’ choice of routes to a certain extent.The analysis also found that the stochastic user equilibrium model considering NL is more in line with the actual traffic road network travel.Finally,based on the predicted amount of shared parking demand and user travel choices,a two-level planning model for the optimal allocation of shared parking capacity is constructed.The upper model considers the four variables of shared parking space capacity,parking fees,cost,and shared parking selection probability To maximize the total revenue of parking.From the perspective of users,the lower-level model divides traffic network users into three types of users: shared parking,ordinary parking,and public transportation,establishes a multi-user stochastic equilibrium model,and nests successive averaging algorithms Based on the differential evolution algorithm,the model is solved.Then,taking the regional road network of Wuyue Plaza in Xincheng,Jintan District,Changzhou City as an example,the results show that reasonable allocation of shared parking berth capacity can increase the total revenue of the parking management platform and promote the effective use of idle parking resources.This research aims to analyze the impact of shared parking on other transportation modes and urban transportation networks,and provide a reliable theoretical and technical basis for urban parking managers to study shared parking.