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Network resistance analysis and key nodes identification of subway distribution network under road-rail coordination
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Jin ZHANG1, 2, 3, Lang CHEN1, Hao SHEN1, Guoqi LI1, 2, 3
China Safety Science Journal | 2024, 34(10) : 39 - 49
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China Safety Science Journal | 2024, 34(10): 39-49
Safety engineering technology
Network resistance analysis and key nodes identification of subway distribution network under road-rail coordination
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Jin ZHANG1, 2, 3, Lang CHEN1, Hao SHEN1, Guoqi LI1, 2, 3
Affiliations
  • 1 School of Transportation and Logistics,Southwest Jiaotong University,Chengdu Sichuan 611756,China
  • 2 National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu Sichuan 611756,China
  • 3 National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu Sichuan 611756,China
Published: 2024-10-28 doi: 10.16265/j.cnki.issn1003-3033.2024.10.1659
Outline
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In order to study the invulnerability and key nodes of the metro network in road-rail cooperative urban distribution,so as to support the networking mode of urban distribution and the reliability improvement of the distribution network under road-rail cooperation,the relative network efficiency and relative load entropy were used as the invulnerability measurement indicators,and the network invulnerability changes under different attack modes were studied based on the improved coupling image lattice model first. Secondly,the centrality index of the transportation efficiency of the reaction network and the realistic index of the carrying capacity of the reaction network was selected to construct a comprehensive identification model of key nodes of the network. Then,by analyzing the level of network invulnerability under different index weights,the key node set under the optimal weight value was obtained. Finally,the empirical analysis of the Chengdu metro network was carried out to verify the effectiveness and practicability of the model. The results show that the metro network has a stronger anti-destruction ability in the face of random attacks under the same disturbance intensity. When faced with external disturbances,the relative network efficiency and relative load entropy loss of nodes with a loss of more than 20% is 6.3% and 6.8%,respectively,of which the relative network efficiency loss can reach 56.3%,and the relative load entropy loss can reach 50.2%. Considering the realistic and central indicators,the relative network efficiency loss and the maximum relative load entropy loss caused by each key node are 8.99% and 4.38%,respectively,which need to be paid attention to.

road-rail coordination  /  metro distribution network  /  resistance to destruction  /  key nodes  /  coupling image lattice(CML)models  /  cascade failure
Jin ZHANG, Lang CHEN, Hao SHEN, Guoqi LI. Network resistance analysis and key nodes identification of subway distribution network under road-rail coordination[J]. China Safety Science Journal, 2024 , 34 (10) : 39 -49 . DOI: 10.16265/j.cnki.issn1003-3033.2024.10.1659
Year 2024 volume 34 Issue 10
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2024.10.1659
  • Receive Date:2024-04-13
  • Online Date:2025-07-09
  • Published:2024-10-28
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  • Received:2024-04-13
  • Revised:2024-07-18
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Affiliations
    1 School of Transportation and Logistics,Southwest Jiaotong University,Chengdu Sichuan 611756,China
    2 National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu Sichuan 611756,China
    3 National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu Sichuan 611756,China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
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Percentage 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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