Community vulnerability perspective on robust protection planning in interdependent infrastructure networks
Community vulnerability perspective on robust protection planning in interdependent infrastructure networks
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DOI：
10.1177/1748006x21991038
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发表时间：
2021-02
期刊：
影响因子：
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通讯作者：
Hannah Lobban;Y. Almoghathawi;Nazanin Morshedlou;K. Barker
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文献类型：
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作者：
Hannah Lobban;Y. Almoghathawi;Nazanin Morshedlou;K. Barker
关键基础设施网络，包括水、电、通信和交通等，对社会的功能是必要的。近年来，对这些基础设施网络的不同类型的中断的威胁已成为需要解决的日益重要的问题。由于现有的相互依赖性，其中一个网络的一个小区域的损坏可能对整个系统满足需求的能力产生深远的影响。常见的中断场景包括故意恶意攻击、自然灾害和随机故障等。类似的工作只关注一种类型的场景，但将各种中断结合起来可能会导致更现实的结果。此外，还必须纳入社会脆弱性概念，这一概念描述了一个地区对破坏的准备和反应能力。这不仅应促进对风险最大的群体的保护，而且还应确保社会弱势群体获得足够的资源。这项工作提供了一个决策框架，以确定考虑所有这些因素的防御资源的分配。因此，我们提出了一个多目标数学模型的目标：（i）最小化系统的相互依赖的基础设施网络的脆弱性，和（ii）最小化资源分配策略的总成本。此外，考虑到所提出的模型中的不确定性，本文采用了一种方法来解决鲁棒性，找到最适应的网络保护计划，以减少脆弱性的系统相互依赖的网络的各种中断情况。拟议的工作说明了社会脆弱性和相互依存的电力，天然气和水网络在田纳西州谢尔比县的应用。
Critical infrastructure networks, including water, power, communication, and transportation, among others, are necessary to society’s functionality. In recent years, the threat of different types of disruptions to such infrastructure networks has become an increasingly important problem to address. Due to existing interdependencies, damage to a small area of one of the networks could have far-reaching effects on the ability to meet demand across the entire system. Common disruption scenarios include, among others, intentional malevolent attacks, natural disasters, and random failures. Similar works have focused on only one type of scenario, but combining a variety of disruptions may lead to more realistic results. Additionally, the concept of social vulnerability, which describes an area’s ability to prepare for and respond to a disruption, must be included. This should promote not only the protection of the most at-risk components but also ensure that socially vulnerable communities are given adequate resources. This work provides a decision making framework to determine the allocation of defensive resources that accounts for all these factors. Accordingly, we propose a multi-objective mathematical model with the objectives of: (i) minimizing the vulnerability of a system of interdependent infrastructure networks, and (ii) minimizing the total cost of the resource allocation strategy. Moreover, to account for uncertainty in the proposed model, this paper incorporates a means to address robustness in finding the most adaptable network protection plan to reduce the vulnerability of the system of interdependent networks to a variety of disruption scenarios. The proposed work is illustrated with an application to social vulnerability and interdependent power, gas, and water networks in Shelby County, Tennessee.