Research on Urban Metro Network Recovery Strategy Based on Resilience Theory: A Case Study of Qingdao Metro Network

The operation of the subway system is highly susceptible to natural disasters. In order to ensure the safe operation of the metro, this paper applies the complex network theory and resilience theory, takes Qingdao metro network as an example, and takes the network efficiency as the evaluation index of resilience, and puts forward four attack strategies to study the robustness of the metro network in the face of different attacks, and restores the network after the damage to study the resilience recovery ability. The results show that the deliberate attack strategy has greater destructive power compared with the random attack strategy. Among them, the station-degree attack strategy has the greatest impact on the recovery capability of the metro network. Among the recovery strategies, scenarios 1 and 2 have the most effective inter-degree centrality-based recovery strategies, while scenarios 3 and 4 have the best station-degree-based recovery strategies. This suggests the need for different recovery strategies depending on the type of attack scenario.

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Publication Details

Published
2024-10-06
DOI
https://doi.org/10.1109/smc54092.2024.10831433
Citations
1
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
0.26

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article

Research on Urban Metro Network Recovery Strategy Based on Resilience Theory: A Case Study of Qingdao Metro Network

Jie Chen, Zhiguo Shao, Hongxia Tang, Li Mengdi
1 citations
Infrastructure Resilience and Vulnerability Analysis
0.26
article

Research on Urban Metro Network Recovery Strategy Based on Resilience Theory: A Case Study of Qingdao Metro Network

Jie Chen, Zhiguo Shao, Hongxia Tang, Li Mengdi
article en
1 citations

Abstract

The operation of the subway system is highly susceptible to natural disasters. In order to ensure the safe operation of the metro, this paper applies the complex network theory and resilience theory, takes Qingdao metro network as an example, and takes the network efficiency as the evaluation index of resilience, and puts forward four attack strategies to study the robustness of the metro network in the face of different attacks, and restores the network after the damage to study the resilience recovery ability. The results show that the deliberate attack strategy has greater destructive power compared with the random attack strategy. Among them, the station-degree attack strategy has the greatest impact on the recovery capability of the metro network. Among the recovery strategies, scenarios 1 and 2 have the most effective inter-degree centrality-based recovery strategies, while scenarios 3 and 4 have the best station-degree-based recovery strategies. This suggests the need for different recovery strategies depending on the type of attack scenario.

Tongji University (CN), Qingdao University of Science and Technology (CN), Qingdao University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Climate action
Openalex Percentile: Top 41%
Infrastructure Resilience and Vulnerability Analysis
0.26
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Research on Urban Metro Network Recovery Strategy Based on Resilience Theory: A Case Study of Qingdao Metro Network — Jie Chen, Zhiguo Shao, et al. · (2024) | TGRS Research Map | TGRS