Shared Parking Space Matching Model Based on Cumulative Prospect Theory
In order to alleviate the shortage of parking resources and rationally utilize existing parking resources,a shared parking space matching model based on cumulative prospect theory(CPT)was constructed on the basis of fully considering the travel purpose and individual heterogeneity of parking users in commercial areas.Through the cumulative prospect theory,the parking selection behavior of users in commercial areas was analyzed,and on the basis of considering the utilization of parking resources and the satisfaction of users,the model was solved by genetic algorithm based on the objective function of the comprehensive maximum of parking utilization rate and comprehensive prospect value.Through the analysis of the model parking allocation scheme differences by example,it is found that compared to the maximum parking utilization rate(MPUR)model's allocation scheme,the parking utilization rate of the CPT scheme is the same as that of the MPUR scheme,but the average user satisfaction increases by 4.6％.To further validate the effectiveness and applicability of the model,simulation experiments were conducted on the model under different supply and demand scenarios and different parking scales.The results show that the CPT model can improve average user satisfaction by 10.72％,8.64％,and 24.62％,while ensuring the utilization rate of parking spaces,under three scenarios:supply exceeding demand,supply balancing,and supply exceeding demand.The model is capable of designating parking spaces that align more with users'psychological expectations in a given parking scenario,based on distinct user traits and parking selection mindset.This enhances user satisfaction with the assigned parking scheme and provides parking space administrators with a more human-centered approach for their parking space allocation reference.
万方数据
维普
