Emergency Decision Simulation for Urban Rail Transit during Rainstorm Floods

Forty fundamental disaster events were extracted from 52 typical flood disaster cases in urban rail transit operations in China.The evolution network and topology of rainstorm and flood disasters were then constructed based on the complete network model.Next, the characteristic parameters of nodes and connecting edges were calculated, and the chain-type evolution laws of disasters explained.Finally, complex network efficiency E and average clustering coefficient C were taken as evaluation indexes, and a simulation experiment of random and deliberate attacks was designed aiming at the nodes and connecting edges.Eventually, the critical nodes and basic events influencing the disaster network vulnerability were revealed.Results show that deliberate attacks are better than random attacks in disrupting the network during rainstorm and flood disasters.Specifically, the network is influenced significantly by deliberate attacks on nodes with high PageRank values.In the attack on edges, obstructing basic events with high PageRank values can reduce network density by up to 30.2 %.

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Publication Details

Journal
International Journal of Simulation Modelling
Published
2025-09-03
DOI
https://doi.org/10.2507/ijsimm24-3-733
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Emergency Decision Simulation for Urban Rail Transit during Rainstorm Floods

Zhao‐Cheng Zeng, Yuanyuan Guo, Yingying Xing, Xu Guo et al.
International Journal of Simulation Modelling
Evacuation and Crowd Dynamics
article

Emergency Decision Simulation for Urban Rail Transit during Rainstorm Floods

Zhao‐Cheng Zeng, Yuanyuan Guo, Yingying Xing, Xu Guo, Q. M.
article en

Abstract

Forty fundamental disaster events were extracted from 52 typical flood disaster cases in urban rail transit operations in China.The evolution network and topology of rainstorm and flood disasters were then constructed based on the complete network model.Next, the characteristic parameters of nodes and connecting edges were calculated, and the chain-type evolution laws of disasters explained.Finally, complex network efficiency E and average clustering coefficient C were taken as evaluation indexes, and a simulation experiment of random and deliberate attacks was designed aiming at the nodes and connecting edges.Eventually, the critical nodes and basic events influencing the disaster network vulnerability were revealed.Results show that deliberate attacks are better than random attacks in disrupting the network during rainstorm and flood disasters.Specifically, the network is influenced significantly by deliberate attacks on nodes with high PageRank values.In the attack on edges, obstructing basic events with high PageRank values can reduce network density by up to 30.2 %.

International Journal of Simulation ModellingVol. 24(3)
Zhengzhou University of Aeronautics (CN)
National Natural Science Foundation of China, Ministry of Education of the People's Republic of China
Openalex Percentile: Top 71%
Evacuation and Crowd Dynamics
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Emergency Decision Simulation for Urban Rail Transit during Rainstorm Floods — Zhao‐Cheng Zeng, Yuanyuan Guo, et al. · International Journal of Simulation Modelling (2025) | TGRS Research Map | TGRS