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Robustness of urban railway networks against the cascading failures induced by the fluctuation of passenger flow

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  • Zhang, Yifan
  • Ng, S. Thomas

Abstract

This paper constructs an urban railway network (URN) as a directed weighted network at different times and studies the dynamic network robustness against the fluctuation of passenger flow-induced cascading failures under different failure modes. The propagation of cascading failure is then imitated through the linear threshold (LT) model, where the influence parameter of edges is defined. In the light of network topology and functionality, two robustness indices, which include the change of edge size in the most connected component (RGCSe) and operational efficiency (ROEt) are employed. By coalescing these two indices, a synthetic operator Rt is proposed to quantify the dynamic TURN robustness comprehensively. The simulation results show that the TURN robustness varies over time. Besides, an increase in the volume of passenger flow can exacerbate the sizes of cascading failure and the impacts on network robustness under different scenarios. Consequently, it is imperative to examine the impacts of time-varying cascading failure on URN robustness. The findings of this research are widely applicable to other networked systems.

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  • Zhang, Yifan & Ng, S. Thomas, 2022. "Robustness of urban railway networks against the cascading failures induced by the fluctuation of passenger flow," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    • Handle: RePEc:eee:reensy:v:219:y:2022:i:c:s0951832021007055
    DOI: 10.1016/j.ress.2021.108227
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    1. Chan, Ho-Yin & Chen, Anthony & Li, Guoyuan & Xu, Xiangdong & Lam, William, 2021. "Evaluating the value of new metro lines using route diversity measures: The case of Hong Kong's Mass Transit Railway system," Journal of Transport Geography, Elsevier, vol. 91(C).
    2. C. von Ferber & T. Holovatch & Yu. Holovatch & V. Palchykov, 2009. "Public transport networks: empirical analysis and modeling," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 68(2), pages 261-275, March.
    3. Wandelt, Sebastian & Shi, Xing & Sun, Xiaoqian, 2021. "Estimation and improvement of transportation network robustness by exploiting communities," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    4. Zhang, Yifan & Ng, S. Thomas, 2021. "A hypothesis-driven framework for resilience analysis of public transport network under compound failure scenarios," International Journal of Critical Infrastructure Protection, Elsevier, vol. 35(C).
    5. Huang, Wencheng & Zhou, Bowen & Yu, Yaocheng & Sun, Hao & Xu, Pengpeng, 2021. "Using the disaster spreading theory to analyze the cascading failure of urban rail transit network," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    6. Yi Shen & Gang Ren & Bin Ran, 2021. "Cascading failure analysis and robustness optimization of metro networks based on coupled map lattices: a case study of Nanjing, China," Transportation, Springer, vol. 48(2), pages 537-553, April.
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    Cited by:

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