Structural Characteristic Studies Of Urban Rail Transit Network

ABSTRACT:Urban rail transit as a subsystem of the comprehensive urban transportation system, takes an important role in supporting sustainable development of the city. With the rapid development of Metro in China, more and more cities enter into the network era of urban rail transit. Therefore the study on urban rail network, especially the network topology structure, becomes particularly important.The purpose of this paper is to adopt the concept of network science to urban rail transit planning. The main contents of this dissertation are summarized as follows:1. Collect the topology information of40metro networks worldwide, and establish the appropriate topology model, Space L and Space P.2. Propose network characteristic indicators, analyze the metro network from the aspects of state, form and structure efficiency, and study the development、process and structure of urban rail network. Provide macro recommendations for the development of urban rail transit in China.3. Illustrate the spatial structure and transfer relations of metro network through Space L and Space P model. Studying the scale-free and small-world features of metro network. Meanwhile, analyze the factors that affect the efficiency of the network from the evolution of these two models. Then, propose optimization proposals from the perspective of topology structure.4. Study the importance of vertices based on the concept of network centrality. Propose a vertex accessibility indicator base on the concept of closeness centrality, and analyze the variation of vertics load distribution base on the concept of betweenness centrality.5. Base on the characteristics of metro networks above, analyzing the robustness of metro networks through simulation experiment, and then studying the performance of metro networks under different attack strategies, in order to get planning proposals and protection strategies to improve network robustness of urban rail transit.6. A case study on Beijing urban rail transit network2015planning and the GiS data of current urban rail transit network.