A network-of-networks percolation analysis of cascading failures in spatially co-located road-sewer infrastructure networks
This paper presents a network-of-networks analysis framework of interdependent critical infrastructure systems, with a focus on the co-located road-sewer network. The constructed interdependency considers two types of node dynamics: co-located and multiple-to-one dependency, with different robustnes...
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| Veröffentlicht in: | Physica A Jg. 538; S. 122971 |
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| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
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Elsevier B.V
15.01.2020
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| ISSN: | 0378-4371, 1873-2119 |
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| Abstract | This paper presents a network-of-networks analysis framework of interdependent critical infrastructure systems, with a focus on the co-located road-sewer network. The constructed interdependency considers two types of node dynamics: co-located and multiple-to-one dependency, with different robustness metrics based on their function logic. The objectives of this paper are twofold: (1) to characterize the impact of the interdependency on networks’ robustness performance, and (2) to unveil the critical percolation transition threshold of the interdependent road-sewer network. The results show that (1) road and sewer networks are mutually interdependent and are vulnerable to the cascading failures initiated by sewer system disruption; (2) the network robustness decreases as the number of initial failure sources increases in the localized failure scenarios, but the rate declines as the number of failures increase; and (3) the sewer network contains two types of links: zero exposure and severe exposure to liquefaction, and therefore, it leads to a two-phase percolation transition subject to the probabilistic liquefaction-induced failures. This indicates that tiered vulnerability of the liquefaction-prone links will result in multiple percolation transitions. The proposed framework provides a holistic approach to analyze the network robustness under different failure scenarios and can be extended to a larger interdependent system.
•A two-phase percolation transition exists in network robustness during probabilistic cascading failure in interdependent road-sewer network.•Road and sewer network are tightly geographically co-located.•Co-located road-sewer network are vulnerable to cascading failures.•Network robustness decreases as the number of initial failure source increases, but the rate declines. |
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| AbstractList | This paper presents a network-of-networks analysis framework of interdependent critical infrastructure systems, with a focus on the co-located road-sewer network. The constructed interdependency considers two types of node dynamics: co-located and multiple-to-one dependency, with different robustness metrics based on their function logic. The objectives of this paper are twofold: (1) to characterize the impact of the interdependency on networks’ robustness performance, and (2) to unveil the critical percolation transition threshold of the interdependent road-sewer network. The results show that (1) road and sewer networks are mutually interdependent and are vulnerable to the cascading failures initiated by sewer system disruption; (2) the network robustness decreases as the number of initial failure sources increases in the localized failure scenarios, but the rate declines as the number of failures increase; and (3) the sewer network contains two types of links: zero exposure and severe exposure to liquefaction, and therefore, it leads to a two-phase percolation transition subject to the probabilistic liquefaction-induced failures. This indicates that tiered vulnerability of the liquefaction-prone links will result in multiple percolation transitions. The proposed framework provides a holistic approach to analyze the network robustness under different failure scenarios and can be extended to a larger interdependent system.
•A two-phase percolation transition exists in network robustness during probabilistic cascading failure in interdependent road-sewer network.•Road and sewer network are tightly geographically co-located.•Co-located road-sewer network are vulnerable to cascading failures.•Network robustness decreases as the number of initial failure source increases, but the rate declines. |
| ArticleNumber | 122971 |
| Author | Wang, Haizhong Dong, Shangjia Song, Xuan Mostafizi, Alireza |
| Author_xml | – sequence: 1 givenname: Shangjia surname: Dong fullname: Dong, Shangjia email: shangjia.dong@tamu.edu organization: School of Civil and Construction Engineering, Oregon State University, Corvallis, OR 97331, United States of America – sequence: 2 givenname: Haizhong surname: Wang fullname: Wang, Haizhong email: haizhong.wang@oregonstate.edu organization: School of Civil and Construction Engineering, Oregon State University, Corvallis, OR 97331, United States of America – sequence: 3 givenname: Alireza surname: Mostafizi fullname: Mostafizi, Alireza email: mostafia@oregonstate.edu organization: School of Civil and Construction Engineering, Oregon State University, Corvallis, OR 97331, United States of America – sequence: 4 givenname: Xuan surname: Song fullname: Song, Xuan email: songx@sustech.edu.cn organization: Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China |
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| Keywords | Infrastructure interdependency Cascading failure Co-located road-sewer network Network-of-networks Percolation modeling |
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