Enhancing urban system resilience to earthquake disasters: Impact of interdependence and resource allocation

IF 4.1 3区 工程技术 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Taiyi Zhao , Yuchun Tang , Qiming Li , Jingquan Wang
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引用次数: 0

Abstract

During the post-disaster recovery process of the urban system (US), it is critical to understand the interdependencies of critical infrastructure systems (CISs) and strategically allocate resources among them. However, due to the complexity of the problem and the limitations of the perspective, the existing research usually ignores the implicit impact of interdependence and resource allocation on urban resilience. To bridge this gap, this study establishes a multilayer network-based methodological framework to characterize various types of interdependencies between different CISs and integrate the US as a complex “system of systems”. Then, the system functionality of the US under different resource allocation strategies is quantified and optimized by resilience metrics. This proposed framework was demonstrated in a virtual US including a transportation subsystem (TS), an electric power supply subsystem (EPSS), and a community subsystem (CS) under catastrophic earthquakes. The sensitivity of urban resilience to interdependencies is investigated, and the corresponding results reveal that urban resilience is most sensitive to the interdependence between TS and EPSS. In particular, when there exists strong interdependence between the TS and EPSS, the optimal resource allocation strategy to maximize urban resilience is assigning resource allocation coefficients of 0.1, 0.8, and 0.1 for the TS, EPSS, and CS, respectively. These results can be effectively applied in future planning and investment in urban resilience.

增强城市系统抵御地震灾害的能力:相互依存和资源分配的影响
在城市系统(US)的灾后恢复过程中,了解关键基础设施系统(CIS)之间的相互依存关系并在它们之间战略性地分配资源至关重要。然而,由于问题的复杂性和视角的局限性,现有研究通常忽略了相互依存和资源分配对城市恢复力的隐性影响。为弥补这一不足,本研究建立了一个基于多层网络的方法框架,以描述不同 CIS 之间的各类相互依存关系,并将美国整合为一个复杂的 "系统之系统"。然后,通过弹性指标对不同资源分配策略下美国的系统功能进行量化和优化。我们在一个虚拟美国中演示了这一拟议框架,其中包括灾难性地震下的交通子系统(TS)、电力供应子系统(EPSS)和社区子系统(CS)。研究了城市复原力对相互依存关系的敏感性,相应的结果表明,城市复原力对 TS 和 EPSS 之间的相互依存关系最为敏感。特别是,当 TS 和 EPSS 之间存在较强的相互依赖关系时,为使城市恢复力最大化,最优的资源分配策略是为 TS、EPSS 和 CS 分别分配 0.1、0.8 和 0.1 的资源分配系数。这些结果可有效地应用于未来城市抗灾能力的规划和投资。
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来源期刊
International Journal of Critical Infrastructure Protection
International Journal of Critical Infrastructure Protection COMPUTER SCIENCE, INFORMATION SYSTEMS-ENGINEERING, MULTIDISCIPLINARY
CiteScore
8.90
自引率
5.60%
发文量
46
审稿时长
>12 weeks
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.
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