Research On Disaster Control Of Urban Rail Transit System Based On Complex Network

Nowadays,with the rapid development of China’s cities and the constant influx of population,a series of urban problems such as insufficient urban space capacity and traffic congestion have emerged.The urban rail transit can solve urban problems effectively and plays an increasingly important role in modern urban public transportation.At the same time,because the rail transit operating environment is extremely complex and close,if a disaster occurs in the system,it often triggers secondary and derivative disasters within a very short period of time.The entire disaster process presents a chain or network structure,which is harmful to people’s life order as well as life and property have a huge impact.In order to solve the above problems,this article combines the current status of urban rail transit system disasters and accidents,based on the complex network theory,to carry out the research on the rail transit system disaster risk identification and control.The main research contents and results are as follows:(1)Established an urban rail transit disaster network model from a macro perspective.Through the statistical analysis of the disaster accident data in the operation of China’s urban rail transit system in the past two decades,the analysis of the disaster-causing and risk transmission mechanism of the accident is carried out,and the impact on the urban rail transit system is identified from the four aspects of personnel,mechanical equipment,surrounding environment,and safety management The risk factors of operational safety integrate complex network theory with the research on disaster risk of urban rail transit system,and establish a disaster network model of urban rail transit system.(2)Taking the nodes and edges of the complex network as the research object,the key node identification algorithm of the complex network-EDK algorithm is proposed,and the comprehensive index analysis algorithm of the key connecting edges is selected.Based on the degree-center method and K-shell decomposition method of the classical complex network key node identification algorithm,the EDK algorithm is proposed to make it suitable for the identification of key nodes in the urban rail transit disaster network.The correctness and reliability of the EDK algorithm are verified through comparative analysis with in-degree algorithm,out-degree algorithm,degree-center method,K-shell decomposition method and C-shell decomposition method.The results show that the EDK algorithm is significantly better than the other five algorithms in terms of accuracy and resolution.Comprehensive analysis of the indicators for evaluating the critical edges of the disaster network,and determining the importance of the edges of the urban rail transit disaster network.(3)Apply the proposed algorithm to the disaster network model of the urban rail transit system to identify key risk factors,including the identification of "important nodes" and "important edges" in the disaster network.The EDK algorithm is used to calculate the node degree value and Ks value of the disaster network,obtain the index weight,and finally get the importance value of the disaster node.UCINET software and Python language are used to obtain the link importance algorithm index results,and the important disaster nodes and disaster propagation links in the disaster network model are identified.In view of important disaster nodes and disaster propagation links,it proposes practical and guiding disaster risk management measures to achieve the purpose of effective prevention of disasters and disaster reduction and disaster reduction.(4)Established a collective coverage location model based on network centrality.In view of the current dominant position of the subway in urban rail transit,the urban subway is used as the object in the site selection study of emergency rescue stations.In the process of analyzing the centrality of the urban subway rail transit network,considering the actual construction cost and rescue radius and other constraints,a collective coverage site selection model based on network centrality was established,and the model was solved through LINGO software programming to determine the emergency rescue station optimal site selection.On this basis,the site selection model was verified through examples.Based on the complex network theory,this paper establishes a new algorithm suitable for the identification of key factors of disaster risk in urban rail transit systems,realizes the effective identification of key factors of risk,and proposes targeted control measures;at the same time,based on safety extremes,it takes into account the event of an accident,Reasonable site selection of rescue stations is essential to effectively control the consequences of accidents,and research on site selection of emergency rescue stations is carried out.From the effective identification of key risk factors and the rational design of emergency rescue station location,the realization of dual control of urban rail transit system disasters has certain theoretical and practical significance.