A Study on the Robustness of Urban Rail Transit Network Based on Complex Network

Dan Chang (), Min Zhang () and Yuqi Zhai ()
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Dan Chang: Beijing Jiaotong University
Min Zhang: Beijing Jiaotong University
Yuqi Zhai: Beijing Jiaotong University

A chapter in LISS 2023, 2024, pp 654-669 from Springer

Abstract: Abstract In order to alleviate urban traffic problems and improve the stable operation of transportation network, it is necessary to analyze the network structure of urban rail transit. Based on complex network theory, this study analyzes the robustness of rail transit network, identifies key nodes and puts forward suggestions for robustness optimization. Taking the rail transit in Beijing as an example, the topology model of the rail transit network is first established based on Space-L. Secondly, based on the complex network theory, the intrinsic structural characteristics of the network are mined. Then, the network efficiency are selected as the criteria for network robustness, and the robustness level of the network is studied by means of deliberate attack and random attack, and the key stations in the transportation network are identified. Finally, the robustness optimization measures of transportation network structure are proposed. The study is of great significance to the safe and stable operation of Beijing’s rail transit network, and also provides reference value for rail transit construction in other cities from the perspective of structural optimization.

Keywords: Urban rail transit; Complex networks; Robustness research; Key node identification (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-97-4045-1_50

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DOI: 10.1007/978-981-97-4045-1_50

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