Research On The Subway Station Of The Exposure Degree Of Vulnerability Under High Passenger Flow Conditions

In current days with increasing urban development, traffic problem has become a bottleneck for urban development, while the appearance of urban rail transit offers a new train of thought to the settlement of urban traffic problem. However, although urban rail transit has various advantages, its development is still limited by factors in many aspects, one of which is subway accident. The subway accident is often accompanied by the influence of large passenger flow, and in the meantime, what can’t be denied is that the exposure degree of itself is also one of the important reasons affecting the occurrence of incident.By learning from the document literature, this paper summaries the previous research results, lays emphasis on analyzing the influencing factors of exposure degree in the vulnerability of subway, and believes that the exposure degree of subway station should include influencing factors in its personnel, equipment and environment under the condition of large passenger flow. On this basis, this paper constructs a quantitative model for the exposure degree of the personnel, equipment and environment of subway station by applying gray relative analysis method, and works out the comprehensive exposure degree of subway station by using the value of exposure degree in these three aspects.The main content of this paper includes:①proposing the concept of exposure degree of subway station under the condition of large passenger flow based on the theory of vulnerability, and analyzing the features of exposure degree and the train of thought to study subway station from this perspective.②Systematically analyzing the influencing factors of exposure degree of subway station from the perspective of system composition of personnel, equipment and environment, and establishing the quantitative model of exposure degree according to mathematical approach.③Gaining the field results which affect the exposure degree of every factor by investigation through field research, and obtaining corresponding value of exposure degree and level of station’s exposure degree by using the model constructed, and proposing the suggestions for reducing exposure degree by data analysis.