Continuous and rapid urbanization and motorization has led to the problem of urban park-ing problems.To alleviate this increasingly severe parking dilemma,shared parking has emerged and received extensive attention and research.To address the shortcomings of the classic shared parking space allocation model in characterizing user parking costs and evaluating user benefits and prefer-ences,this study constructs a structural equation model(SEM)of shared parking choice willingness based on shared parking theory and survey data.The calibrated results reveal that the model identi-fies four types of parking preferences with decreasing path coefficients:parking fees,walking dis-tance,illegal parking fines,and time spent searching for parking.The identification results and path coefficients of the SEM serve as the basis for user parking cost modeling,with the difference be-tween platform revenue and user parking costs representing the system benefits.We set maximizing system such benefits as the optimization objective,considering both user preferences and spatial-tem-poral constraints of parking spaces.The study proposes a shared parking space allocation model for parking facilities,taking user preferences into account.A monte carlo algorithm is designed to gener-ate random allocation schemes,and the extent of profit sacrifice by the platform is defined to evalu-ate user benefits.Numerical examples demonstrate that the algorithm can effectively solve the model and obtain the maximum system benefit after approximately 10,000 simulations.The parking facility shared parking space allocation model considering user preferences can increase user benefits by ap-proximately 7.5%,thereby providing theoretical references for shared platform operators to balance their own profits and user benefits.
关键词
城市交通/共享停车/结构方程模型/蒙特卡洛算法/泊位分配模型
Key words
urban transportation/shared parking/structural equation model/monte carlo algorithm/parking lots allocation model
维普
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