Abstract: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) is 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. the example results show that compared with the maximum allocation of parking utilization rate (MPUR) scheme, the CPT scheme can further consider the actual parking selection behavior of users on the basis of ensuring parking space utilization. According to the user"s travel purpose and individual situation, match to a more suitable parking space in this scenario. 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, by adjust the weight of the model, more reasonable parking matching schemes can be provided for parking managers in different parking supply and demand scenarios.