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Resilience assessment method of urban rail transit system under cascading failure
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Jinyi CHEN1, 2, Tiezhu LI1, 2, **, Jingwen GUO3, Hui LIU4, Haibo CHEN5
China Safety Science Journal | 2024, 34(9) : 202 - 208
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China Safety Science Journal | 2024, 34(9): 202-208
Public safety
Resilience assessment method of urban rail transit system under cascading failure
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Jinyi CHEN1, 2, Tiezhu LI1, 2, **, Jingwen GUO3, Hui LIU4, Haibo CHEN5
Affiliations
  • 1 School of Transportation,Southeast University,Nanjing Jiangsu 211189,China
  • 2 Nanjing Rail Transit Smart Transportation Research Station,Nanjing Jiangsu 210012,China
  • 3 Transportation Management Division,Nanjing Metro Operation Co.,Ltd.,Nanjing Jiangsu 210012,China
  • 4 School of Transport Management,Nanjing Vocational Institute of Railway Technology,Nanjing Jiangsu 210031,China
  • 5 Institute for Transport Studies,University of Leeds,Leeds LS2 9JT,UK
Published: 2024-09-28 doi: 10.16265/j.cnki.issn1003-3033.2024.09.1963
Outline
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In order to identify high-risk stations in urban rail transit systems and improve network resilience and operational safety,a performance function model was constructed to evaluate the network resilience by selecting network efficiency,average shortest path length and maximum connection sub-graph as indicators,and an evaluation method for critical stations was proposed,considering topological structure and passenger flow distribution equilibrium. Taking Nanjing Metro as an example,three cascading failure modes,descending critical degree,descending betweenness centrality and random sequence,are adopted. The characteristics of resilience degradation under different cascading failures are simulated respectively in the unweighted network and the weighted network. The results show that the critical stations are similar on weekdays and weekends. The resilience performance decreases most rapidly in the early stages of failures in descending order of critical stations. Compared with topology networks,the resilience index of passenger flow-weighted networks decreases faster in the early stages of cascading failures. Strengthening the control of critical stations when cascading failures do not spread widely can help reduce the loss of network resilience.

urban rail transit  /  network resilience  /  cascading failure  /  critical stations  /  weighted network
Jinyi CHEN, Tiezhu LI, Jingwen GUO, Hui LIU, Haibo CHEN. Resilience assessment method of urban rail transit system under cascading failure[J]. China Safety Science Journal, 2024 , 34 (9) : 202 -208 . DOI: 10.16265/j.cnki.issn1003-3033.2024.09.1963
Year 2024 volume 34 Issue 9
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.09.1963
  • Receive Date:2024-02-21
  • Online Date:2025-07-09
  • Published:2024-09-28
Article Data
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History
  • Received:2024-02-21
  • Revised:2024-05-23
Funding
Affiliations
    1 School of Transportation,Southeast University,Nanjing Jiangsu 211189,China
    2 Nanjing Rail Transit Smart Transportation Research Station,Nanjing Jiangsu 210012,China
    3 Transportation Management Division,Nanjing Metro Operation Co.,Ltd.,Nanjing Jiangsu 210012,China
    4 School of Transport Management,Nanjing Vocational Institute of Railway Technology,Nanjing Jiangsu 210031,China
    5 Institute for Transport Studies,University of Leeds,Leeds LS2 9JT,UK
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表12种不同金属材料的力学参数

Family
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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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