| With the continuous and rapid development of China’s economy and society,the scale of railway construction and the quality of transport services have taken on a new face.As an important infrastructure and major people’s livelihood project,the mileage of high-speed rail is growing rapidly and has become the primary choice for national travel,greatly promoting the economic development of cities along the route and facilitating the flow of people and goods.According to the "14th Five-Year Plan" for the development of a modern comprehensive transport system,China’s high-speed rail mileage is expected to reach 50,000 kilometres by 2025,with the high-speed rail network covering a wider area and the network structure being more optimised,and due to the frequent occurrence of typhoons,rainstorms,earthquakes and other disasters,high-speed railway stations or lines are blocked or limited to speed due to breakdowns.The smooth running order is disrupted,affecting passengers’ travel plans.How to reduce the vulnerability of the high-speed rail network and ensure the safe operation of trains in order has become an urgent issue to be resolved.Based on the updated high-speed railway train running map and train schedule on April 10,2021,this study takes 826 stations running G-head high-speed EMU train and the connection relationship between stations as the research objects,and constructs the China high-speed railway geographic network and traffic network based on the complex network correlation theory.The topological properties of the geographical and traffic networks are also studied by selecting characteristic indicators such as degree,degree distribution,diameter,average path length,centrality and clustering coefficient to analyse and summarise the topological nature of China’s high-speed rail network.Secondly,the hierarchical analysis method is used to weight the centrality values to the comprehensive evaluation index of station importance,and the line importance ranking is obtained using the edge median index.Simulations are conducted to simulate the global performance of the HSR geographic and traffic networks under four scenarios,including random and deliberate attacks on nodes and connected edges,and to analyse the vulnerability of the HSR network through the degree of change in network efficiency,maximum connected subgraph ratio and other measures.The vulnerability of the HSR network and the importance of key stations and routes in the HSR global network are analysed in relation to the impact of the 7-20 Henan rainstorm on the HSR traffic network in China.Finally,strategies to reduce the vulnerability of China’s high-speed rail network are proposed at two levels: routine safety maintenance and response to unexpected emergencies at key nodes and key lines,and optimization of the global structure of the network,with a view to enhancing network connectivity and improving the reliability of the high-speed rail network,providing a reference for optimizing the transport organization and layout of high-speed rail lines and ensuring the safe operation of highspeed rail trains. |
