To solve the parking slot allocation problem based on shared parking theory, under a comprehensive analysis of the operator's benefit and the factors affecting the user's parking behavior, a 0-1 programming model which aims to maximize system efficiency is proposed. Besides, some evaluation indexes related to operating revenue, customer satisfaction and resource utilization efficiency are put forward. By comparing the results between the proposed model and the first-come-first-serve (FCFS) model, it shows that the result of the proposed model improves the operating revenue by 13.3% and increases parking utilization rate by 8.33% as well as ensuring the customer satisfaction when parking slot cannot meet the demand. The proposed model can solve the allocation problem of multi-parking lots effectively. At last, entropy weight method is introduced to evaluate the results based on different values of penalty factor. It provides a theoretical reference for determining the optimal value of the penalty factor under different request demand.
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