Li Guo , Jianing Hu , Mengjuan Luo , Shihao Ren , Xiaobin Dong , Pengcheng Li
{"title":"相互依赖耦合如何影响城市关键基础设施的弹性","authors":"Li Guo , Jianing Hu , Mengjuan Luo , Shihao Ren , Xiaobin Dong , Pengcheng Li","doi":"10.1016/j.ijcip.2025.100790","DOIUrl":null,"url":null,"abstract":"<div><div>Urban critical infrastructure systems do not exist in isolation. They are interdependent and interact with each other, constructing a multilayer network model can effectively and accurately simulate the relationship between these systems, to better understand and analyze their interactions and impact on the overall resilience of the system. This study constructs eight different coupling-type multilayer cascading failure models to explore the robustness patterns of interdependent coupling networks under two different coupling patterns (chain and triangle) and different coupling ratios. The research results indicate that (1) both chain and triangle coupling networks exhibit optimal adjustable capacity parameter values, but the optimal adjustable capacity values for these two coupling patterns are not the same; (2) the robustness of the triangle coupling network is superior to that of the chain coupling network, although, under degree-matching coupling types, the robustness of the two coupling patterns is similar; (3) under the same coupling pattern, different coupling types of multilayer networks exhibit differences in robustness, and the optimal inter-layer coupling types vary within different coupling ratio ranges; (4) under different coupling patterns, for the same coupling ratio range, the optimal inter-layer coupling types also differ. These findings provide a foundation for more precise modeling, thereby enabling the development of more effective strategies to enhance the resilience and reliability of interdependent urban critical infrastructure systems under varying coupling conditions.</div></div>","PeriodicalId":49057,"journal":{"name":"International Journal of Critical Infrastructure Protection","volume":"51 ","pages":"Article 100790"},"PeriodicalIF":5.3000,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How interdependent coupling affects the resilience of urban critical infrastructure(UCI)\",\"authors\":\"Li Guo , Jianing Hu , Mengjuan Luo , Shihao Ren , Xiaobin Dong , Pengcheng Li\",\"doi\":\"10.1016/j.ijcip.2025.100790\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Urban critical infrastructure systems do not exist in isolation. They are interdependent and interact with each other, constructing a multilayer network model can effectively and accurately simulate the relationship between these systems, to better understand and analyze their interactions and impact on the overall resilience of the system. This study constructs eight different coupling-type multilayer cascading failure models to explore the robustness patterns of interdependent coupling networks under two different coupling patterns (chain and triangle) and different coupling ratios. The research results indicate that (1) both chain and triangle coupling networks exhibit optimal adjustable capacity parameter values, but the optimal adjustable capacity values for these two coupling patterns are not the same; (2) the robustness of the triangle coupling network is superior to that of the chain coupling network, although, under degree-matching coupling types, the robustness of the two coupling patterns is similar; (3) under the same coupling pattern, different coupling types of multilayer networks exhibit differences in robustness, and the optimal inter-layer coupling types vary within different coupling ratio ranges; (4) under different coupling patterns, for the same coupling ratio range, the optimal inter-layer coupling types also differ. These findings provide a foundation for more precise modeling, thereby enabling the development of more effective strategies to enhance the resilience and reliability of interdependent urban critical infrastructure systems under varying coupling conditions.</div></div>\",\"PeriodicalId\":49057,\"journal\":{\"name\":\"International Journal of Critical Infrastructure Protection\",\"volume\":\"51 \",\"pages\":\"Article 100790\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2025-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Critical Infrastructure Protection\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1874548225000514\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Critical Infrastructure Protection","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1874548225000514","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
How interdependent coupling affects the resilience of urban critical infrastructure(UCI)
Urban critical infrastructure systems do not exist in isolation. They are interdependent and interact with each other, constructing a multilayer network model can effectively and accurately simulate the relationship between these systems, to better understand and analyze their interactions and impact on the overall resilience of the system. This study constructs eight different coupling-type multilayer cascading failure models to explore the robustness patterns of interdependent coupling networks under two different coupling patterns (chain and triangle) and different coupling ratios. The research results indicate that (1) both chain and triangle coupling networks exhibit optimal adjustable capacity parameter values, but the optimal adjustable capacity values for these two coupling patterns are not the same; (2) the robustness of the triangle coupling network is superior to that of the chain coupling network, although, under degree-matching coupling types, the robustness of the two coupling patterns is similar; (3) under the same coupling pattern, different coupling types of multilayer networks exhibit differences in robustness, and the optimal inter-layer coupling types vary within different coupling ratio ranges; (4) under different coupling patterns, for the same coupling ratio range, the optimal inter-layer coupling types also differ. These findings provide a foundation for more precise modeling, thereby enabling the development of more effective strategies to enhance the resilience and reliability of interdependent urban critical infrastructure systems under varying coupling conditions.
期刊介绍:
The International Journal of Critical Infrastructure Protection (IJCIP) was launched in 2008, with the primary aim of publishing scholarly papers of the highest quality in all areas of critical infrastructure protection. Of particular interest are articles that weave science, technology, law and policy to craft sophisticated yet practical solutions for securing assets in the various critical infrastructure sectors. These critical infrastructure sectors include: information technology, telecommunications, energy, banking and finance, transportation systems, chemicals, critical manufacturing, agriculture and food, defense industrial base, public health and health care, national monuments and icons, drinking water and water treatment systems, commercial facilities, dams, emergency services, nuclear reactors, materials and waste, postal and shipping, and government facilities. Protecting and ensuring the continuity of operation of critical infrastructure assets are vital to national security, public health and safety, economic vitality, and societal wellbeing.
The scope of the journal includes, but is not limited to:
1. Analysis of security challenges that are unique or common to the various infrastructure sectors.
2. Identification of core security principles and techniques that can be applied to critical infrastructure protection.
3. Elucidation of the dependencies and interdependencies existing between infrastructure sectors and techniques for mitigating the devastating effects of cascading failures.
4. Creation of sophisticated, yet practical, solutions, for critical infrastructure protection that involve mathematical, scientific and engineering techniques, economic and social science methods, and/or legal and public policy constructs.