Abstract
An integrated passenger transportation hub is an important node of an urban transportation network. To improve the parking efficiency of the hub parking lot complex, it is of great significance to propose an effective method for parking demand allocation. Unlike previous studies that focus solely on parking lot attributes, this study comprehensively considers both parking demand allocation and through traffic demand allocation, integrating the impact of the surrounding road network. By explicitly accounting for the interaction between parking lots and the urban road network, our approach better reflects real-world traffic dynamics. Also, the suitability of the models is verified by taking Nanjingnan Railway Station as an example. The results demonstrate that the dynamic demand allocation process more realistically captures real-time variations in both parking and traffic demand, and the above two allocation models can provide technical support for the realization of efficient parking guidance. The allocation results can reveal vehicle distribution trends across different parking lots and paths, which offer practical insights for improving parking efficiency and optimizing the operational performance of the hub parking lot complex and provide analytical tools for future planning and management.
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