客流二像性阶跃相变及安全设计标准控参辨识OA

[Objective]In the current design specifications of China,the evacuation capacity of railway and rail transit stations is determined by demand and capacity control parameters.The former is obtained from various survey data and mathematical prediction methods.Due to subjective and objective constraints,its value varies over a wide range.Therefore,determining the capacity control parameters as the basic constraints is crucial for ensuring the level of station passenger safety and emergency evacuation.[Methods]Based on an analysis of the hydrodynamic characteristics of strongly purpose-driven commuter passenger flow,a large amount of field survey data was applied for analysis and mining.First,to eliminate the information gap caused by the randomness of point-level passenger flow data,a travel time cost multiple indicator was designed for data interpretation.This revealed the stepwise characteristics of passenger flow and led to the identification of the four-stage phases of passenger flow that differed from the existing fundamental diagram.Second,based on the analysis of the flow-particle duality and discrete nature of strongly purpose-driven passenger flow,a nonlinear functional relationship was derived.[Results]By synthesizing data such as travel time multipliers,the stepwise critical values of passenger flow congestion risk were identified corresponding to the phase transition regions.[Conclusion]Based on the analysis of the current evacuation calculation method,combined with the results of this study and referenced values from current design standards,recommended values for control parameters are provided,which can enable a more scientific calculation of station evacuation capacity.