Simulation Study on Cascading Failure of Multimodal Transport Network
Cascading failure in multimodal transport network may cause huge economic loss and social impact, which has gradually attracted public attention. In view of the coupling effect of nodes in multimodal transport network and the higher complexity of cascading failure process, the concepts of node corre...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/3976910 |
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| author | Jingni Guo Junxiang Xu Zhenggang He Wei Liao |
| author_facet | Jingni Guo Junxiang Xu Zhenggang He Wei Liao |
| author_sort | Jingni Guo |
| collection | DOAJ |
| description | Cascading failure in multimodal transport network may cause huge economic loss and social impact, which has gradually attracted public attention. In view of the coupling effect of nodes in multimodal transport network and the higher complexity of cascading failure process, the concepts of node correlation degree and node cooperation degree are proposed to characterize the characteristics of the network, and a logit model is introduced to calculate the initial load of nodes. In the case of ignoring network interruption, we propose two load redistribution methods: local allocation and global-local allocation. Taking the multimodal transport network in Sichuan–Tibet region of China as an example, the cascading failure effect of multimodal transport network in Sichuan–Tibet region is quantified by sensitivity analysis. The results show that when the load of the multimodal transport network in Sichuan–Tibet region exceeds the maximum capacity but does not exceed 150%∼170% of the network capacity, the network can still operate normally. In addition, the nodes in the multimodal transport network should have 0.3∼0.5 scalable space. In the cascading failure control method, load redistribution based on global-local allocation can minimize the impact of node overload. |
| format | Article |
| id | doaj-art-244c2590d030476eb99649f1c9d69580 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-244c2590d030476eb99649f1c9d695802025-02-03T01:05:15ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/39769103976910Simulation Study on Cascading Failure of Multimodal Transport NetworkJingni Guo0Junxiang Xu1Zhenggang He2Wei Liao3School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Logistics, Chengdu University of Information Technology, Chengdu 610225, ChinaCascading failure in multimodal transport network may cause huge economic loss and social impact, which has gradually attracted public attention. In view of the coupling effect of nodes in multimodal transport network and the higher complexity of cascading failure process, the concepts of node correlation degree and node cooperation degree are proposed to characterize the characteristics of the network, and a logit model is introduced to calculate the initial load of nodes. In the case of ignoring network interruption, we propose two load redistribution methods: local allocation and global-local allocation. Taking the multimodal transport network in Sichuan–Tibet region of China as an example, the cascading failure effect of multimodal transport network in Sichuan–Tibet region is quantified by sensitivity analysis. The results show that when the load of the multimodal transport network in Sichuan–Tibet region exceeds the maximum capacity but does not exceed 150%∼170% of the network capacity, the network can still operate normally. In addition, the nodes in the multimodal transport network should have 0.3∼0.5 scalable space. In the cascading failure control method, load redistribution based on global-local allocation can minimize the impact of node overload.http://dx.doi.org/10.1155/2020/3976910 |
| spellingShingle | Jingni Guo Junxiang Xu Zhenggang He Wei Liao Simulation Study on Cascading Failure of Multimodal Transport Network Journal of Advanced Transportation |
| title | Simulation Study on Cascading Failure of Multimodal Transport Network |
| title_full | Simulation Study on Cascading Failure of Multimodal Transport Network |
| title_fullStr | Simulation Study on Cascading Failure of Multimodal Transport Network |
| title_full_unstemmed | Simulation Study on Cascading Failure of Multimodal Transport Network |
| title_short | Simulation Study on Cascading Failure of Multimodal Transport Network |
| title_sort | simulation study on cascading failure of multimodal transport network |
| url | http://dx.doi.org/10.1155/2020/3976910 |
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