Construction And Coordination Degree Of Multi-standard Rail Transit Network

Multi-standard rail transit network refers to a transportation network composed of multiple rail transit lines such as high-speed rail,ordinary railway,and subway.In recent years,with the rapid development of rail transit in metropolitan areas such as Beijing,Shanghai,and Chongqing,the network structure has shown some complexity.Quantitative analysis of the topological structure and network performance of the rail transit network,and studying the complexity of the network and the degree of coupling and coordination between the subnetworks will help improve the accuracy of network performance analysis and ensure the safety of rail transit network operations.This has practical significance for the development of urban TOD and the realization of green and smooth travel.This article relies on the National Key Research and Development Program(2017YFB1200702)to study the construction of regional multi-standard rail transit topological networks,and analyze the complex characteristics of its topological structure and the degree of coupling and coordination between sub-networks of various standards.First,based on the basic theory of complex networks,this paper analyzes the basic models,complex properties,and common topological indicators,and introduces the analysis software and tools of this paper.Then it uses the Space L space model to define the components of the multistandard rail transit network and reconstructs the physical network of the multi-standard composite rail transit network.This part lays the theoretical foundation for the following part on the application of topological indexes,identification of key nodes and robustness simulation,exploring and calculating the degree of network coupling coordination.Furthermore,in order to analyze the important hub nodes in the rail transit network,this paper focuses on improving the identification and selection methods of key nodes,and establishes a node importance evaluation index system.The gray correlation analysis method and TOPSIS are applied to weight comprehensive evaluation of rail transit network nodes to improve the recognition accuracy of key nodes.The four parameters such as network efficiency are used as indicators of network robust performance,and deliberate and random attack strategies are developed to simulate the robustness of rail transit networks in MATLAB.Finally,the concept of coupling coordination commonly used in physics and economics is introduced.An evaluation index system is established for the coupling coordination degree of rail transit network including factors such as network scale,topology,robustness,transportation capacity,transfer ratio and functional cost.The calculation methods of coupling degree,comprehensive coordination index and coupling coordination degree between different subsystems are proposed in order to provide theoretical guidance for the overall planning of multi-standard rail transit network and the coordinated development of multinetwork integration.In terms of empirical analysis,a multi-standard rail transit network in Chongqing is used as an example for analysis,and single-standard networks and a multi-standard composite network are constructed.The complex characteristics of the change of the topological index value and robustness of the composite network are analyzed,and the coupling degree and coordination degree under the overall and sub-index are calculated.The empirical results show that the composite network has a greater average degree and a smaller shortest path length.During this period,the overall coupling degree of the composite network is 0.988,the coordination degree is 0.678,the coupling degree is high,and the coordination degree is generally.The coupling and coordination values of the four subsystems under various indicators are quite different,but with the increase in the number of system couplings,the overall coupling and coordination tend to show a downward trend.It also puts forward some optimization suggestions for node protection and operation management on Chongqing rail transit network.