RV-DSS: Towards a resilience and vulnerability- informed decision support system framework for interdependent infrastructure systems
RV-DSS: Towards a resilience and vulnerability- informed decision support system framework for interdependent infrastructure systems
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DOI：
10.1016/j.cie.2021.107276
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发表时间：
2021-03
期刊：
影响因子：
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通讯作者：
D. Hajializadeh;M. Imani
中科院分区：
文献类型：
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作者：
D. Hajializadeh;M. Imani
关键基础设施（CI）资产所有者和运营商目前面临的共同挑战是缺乏一个集成的、稳健的、基于可靠性的业务规划和管理方法来应对相互依赖的资产故障，特别是由于低概率/高影响的环境危害。CI之间的相互依赖性可能导致连锁故障，从而放大这些故障造成的影响。这也可能影响CI的服务恢复率，从而降低其应对这些危险事件的弹性。随着基础设施在某些部门变得越来越相互依赖，越来越需要更好地管理相互作用和相互依赖性，为了减少这些影响，需要一个综合的复原力和脆弱性知情的决策支持系统，以确定相互依赖的网络的脆弱组成部分，并相应地引入适应能力。这是特别重要的考虑到不断增长的投资，在资产管理在不同的部门，以提高网络的弹性，以应对极端的环境hazards.This研究提出了一种新的框架，建立一个弹性和可靠性知情的决策支持系统（RV-DSS）。该框架提供了潜在的手段，沟通的相互依存关系引起的挑战和量化的好处，考虑相互依存关系，简化系统的干预战略。除了用于评估网络性能的常用脆弱性指标之外，它还提出了一种应对危险事件的网络弹性指标。该框架可用于启动不同CI网络所有者和管理者之间基于相互依赖性的通信，从而共享知识并共同理解其连接的资产、隐藏的故障传播机制和集体恢复过程。该框架的应用程序，然后证明了在北阿盖尔，苏格兰的案例研究。定量表明，虽然具有较高水平的相互依赖的基础设施，可以施加网络更高的脆弱性，它提供了一个更大的机会，一个综合的恢复过程。
The common challenge currently faced by critical infrastructure (CI) asset owners and operators is the lack of an integrated and robust resilience-informed business planning and management approach in response to interdependent assets’ failures, in particular due to low-probability/high-impact environmental hazards.Interdependencies among CI can cause cascading failures and hence, amplify impacts due to these failures. This can also affect CI’s service restoration rate and consequently, reducing their resilience in coping with these hazardous events. As infrastructures are becoming more interdependent in some sectors, there is an increasing need for better management of the interactions and interdependencies.To reduce these impacts, an integrated resilience and vulnerability- informed Decision Support System (DSS) is required to identify interdependent network’s vulnerable components and introduce adaptive capacities accordingly. This is of particular importance given ever growing investments in asset management across different sectors in order to improve the resilience of the networks in response to extreme environmental hazards.This study presents a novel framework for building a resilience and vulnerability-informed decision support system (RV-DSS). This framework provides potential means of communicating challenges induced due to interdependencies and quantifies benefits of considering interdependencies in streamlining intervention strategies for systems. It also proposes a measure of network resilience in response to hazardous events, in addition to the commonly used measures of vulnerability for assessment of the network performance. The framework can be used in initiating the interdependency-based communications among different CI network owners and managers, leading to shared knowledge and common understanding of their connected assets, hidden failure propagation mechanisms and collective recovery process. The application of the framework is then demonstrated using a case study in North Argyll, Scotland. It is quantitatively demonstrated that although infrastructures with a higher level of interdependency, can impose the network to higher vulnerability, it provides a greater opportunity for an integrated recovery process.