Modeling the resilience of critical infrastructure: the role of network dependencies.
Modeling the resilience of critical infrastructure: the role of network dependencies.
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DOI：
10.1080/23789689.2016.1254999
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发表时间：
2016
影响因子：
5.9
通讯作者：
van de Lindt J
中科院分区：
文献类型：
--
作者：
Guidotti R;Chmielewski H;Unnikrishnan V;Gardoni P;McAllister T;van de Lindt J
水和废水网络，电力网络，交通网络，通信网络和信息技术网络是我们社区的关键基础设施之一;它们在灾害事件期间和之后的中断极大地影响了社区的福祉，经济安全，社会福利和公共卫生。此外，一个网络的中断可能会导致其他网络的中断并导致其功能下降。本文提出了一个统一的理论方法，依赖/相互依存的基础设施网络的建模，并将其纳入一个六步概率过程，以评估其弹性。方法和程序都是通用的，可以应用于任何基础设施网络和危险，并可以模拟网络之间的不同类型的依赖关系。作为一个例子，本文模拟了地震事件对饮用水分配网络的功能的直接影响和电力网络（EPN）的损坏对饮用水分配网络（WN）的级联效应。结果量化了由于WN对EPN的依赖而导致的恢复过程中的功能损失和延迟。结果表明，在关键基础设施的弹性建模中，捕获网络之间的依赖关系是非常重要的。
Water and wastewater network, electric power network, transportation network, communication network, and information technology network are among the critical infrastructure in our communities; their disruption during and after hazard events greatly affects communities’ well-being, economic security, social welfare, and public health. In addition, a disruption in one network may cause disruption to other networks and lead to their reduced functionality. This paper presents a unified theoretical methodology for the modeling of dependent/interdependent infrastructure networks and incorporates it in a six-step probabilistic procedure to assess their resilience. Both the methodology and the procedure are general, can be applied to any infrastructure network and hazard, and can model different types of dependencies between networks. As an illustration, the paper models the direct effects of seismic events on the functionality of a potable water distribution network and the cascading effects of the damage of the electric power network (EPN) on the potable water distribution network (WN). The results quantify the loss of functionality and delay in the recovery process due to dependency of the WN on the EPN. The results show the importance of capturing the dependency between networks in modeling the resilience of critical infrastructure.