The transfer system has an extremely important influence on the operation management and economic benefits of the whole rail network. The paper selects evaluation indexes based on the analysis of transfer system time value influencing factors, excludes part of the indexes by using importance analysis and correlation analysis, and constructs the evaluation index system of rail transit transfer system using the STATA 16 software. Using a combination of the analytic hierarchy process (AHP) and CRITIC method, the evaluation indexes were comprehensively assigned. The time value evaluation model was established based on the matter-element extension evaluation model. Finally, Wuhan rail transit transfer stations Dazhi Road Station and Xunlimen Station are selected as examples for empirical analysis, and improvement measures are proposed. Unlike previous studies, this study introduces time value as a core indicator and uses a matter-element extension evaluation model for evaluation. Empirical analyses show that the proposed evaluation index system based on time value can better reflect the passenger experience as well as the efficiency of the transfer system. The selected matter-element extension evaluation model can better deal with the uncertainty between indicators and solve the multi-objective contradiction problem. The evaluation results of the model are consistent with the actual research results of the transfer station, and the evaluation model has better applicability.

Urban complexes on top of subways as a function of intensive building groups, including residential, office, business, and other types nature of land use where parking time differences are obvious, can implement shared parking spaces, thereby reducing the index of parking allotment. Currently, the parking space allocation index for complexes is only a simple superposition of different land uses, resulting in an over-allocation of parking allotments, leading to a waste of land resources and a low utilization rate of parking allotments. Considering the factor of shared parking spaces, this paper conducted an in-depth analysis of the parking adaptability of urban complexes on top of subways and selected five urban complexes on top of subway stations in Wuhan to conduct a parking survey to analyze the parking demand characteristics. This study also investigated the parking behavior of parkers and analyzed the characteristics of parking behavior in urban complexes on top of subways as well as the current parking demand prediction methods and models, establishing a parking demand prediction model based on shared parking spaces and conducting an adaptability analysis. Finally, using five urban complexes in Wuhan as examples, the number of parking spaces demanded by urban complexes on top of subways in 2025 was predicted, and Wuhan Golden Harvest Fashion Plaza was used as an example to verify the feasibility and implementation ability of the theoretical and applied research in this paper.