Analysis Of Passenger Behavior And Emergency Evacuation

Along with the development of urban rail transit, its network effect is becoming more and more obvious, and the passenger flow organization is becoming more and more complex, it put forward higher requirements for transport organization., The efficiency of rail transit network will caused serious influence once the emergency occur in the station under the condition of network operation. Therefore, beforehand proactive emergency strategy for rail transit system become an important means to ensure operational efficiency. This paper studies emergency evacuation strategies from views of the rail transit station platform, the station hall and rail transit network. Through the modeling and computational experiments of pedestrian behavior from the micro, meso and macro levels, provide theoretical and methodological support for the rail transit station planning, design and operation. The main work is as follows:Firstly, the behaviors of the passengers on the platform based on social force model are studied. The platform environment mainly refers to the channels which are directly connected with the platform and the waiting areas on the platform. Different types of multi-channel emergency evacuation models is built based on the survey data and provide a reference for channel design. Considering the random assignment criteria, the passenger distribution model on the platform is established, compared with the survey data, it can simulate the platform waiting area passenger choice behavior well. For the further study of the influence of passenger platform distribution to train dwell time, passenger’s boarding and alighting behavior is modeled and the relationship between time and number is simulated.Secondly, the emergency evacuation for rail transit station hall is studied. The behavior characteristics of abnormal behavior pedestrian and pedestrians in rail transit station hall is analyzed and modeled, the model can depict the behavior characteristics of pedestrians accurately. Through the establishment of different scenarios, the impact of abnormal behavior person in evacuation is analyzed. The results show that the number of pedestrians, movement speed, dynamic position selection, abnormal pedestrian speed, number of exports have great influences on the evacuation efficiency totally, reasonable evacuation strategies can reduce losses effectively.Finally, the large passenger flow propagation in urban rail transit network is studied. Combined with complex network theory, the characteristics of urban rail transport network is defined, take Beijing rail transit network for example, the network characteristic parameters along the development of rail transit network are analyzed. Large passenger flow propagation model based SIR theory is established to study the relationship between large passenger flow propagation and the network topological structure characteristics. Studies show that large passenger flow propagation in the network is directly related to the network structure. It’s certain significance for the stations and lines design of rail transit network.