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Review on modeling and simulation of interdependent critical infrastructure systems

机译：相互依赖的关键基础设施系统的建模和仿真研究

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摘要

Modern societies are becoming increasingly dependent on critical infrastructure systems (CISs) to provide essential services that support economic prosperity, governance, and quality of life. These systems are not alone but interdependent at multiple levels to enhance their overall performance. However, recent worldwide events such as the 9/11 terrorist attack, Gulf Coast hurricanes, the Chile and Japanese earthquakes, and even heat waves have highlighted that interdependencies among CISs increase the potential for cascading failures and amplify the impact of both large and small scale initial failures into events of catastrophic proportions. To better understand CISs to support planning, maintenance and emergency decision making, modeling and simulation of interdependencies across CISs has recently become a key field of study. This paper reviews the studies in the field and broadly groups the existing modeling and simulation approaches into six types: empirical approaches, agent based approaches, system dynamics based approaches, economic theory based approaches, network based approaches, and others. Different studies for each type of the approaches are categorized and reviewed in terms of fundamental principles, such as research focus, modeling rationale, and the analysis method, while different types of approaches are further compared according to several criteria, such as the notion of resilience. Finally, this paper offers future research directions and identifies critical challenges in the field.
机译：现代社会越来越依赖关键基础设施系统（CIS）来提供支持经济繁荣，治理和生活质量的基本服务。这些系统不是单独的，而是在多个级别上相互依赖，以增强其整体性能。然而，最近的全球性事件，例如9/11恐怖袭击，墨西哥湾沿岸飓风，智利和日本地震，甚至热浪，都突显了独联体国家之间的相互依存关系增加了级联失败的可能性，并放大了大范围和小范围的影响最初的失败变成了灾难性的事件。为了更好地理解CIS以支持计划，维护和紧急决策，跨CIS的相互依赖关系的建模和仿真最近已成为研究的关键领域。本文回顾了该领域的研究，并将现有的建模和仿真方法大致分为六类：经验方法，基于主体的方法，基于系统动力学的方法，基于经济理论的方法，基于网络的方法等。根据基本原理（例如研究重点，建模原理和分析方法）对每种方法的不同研究进行分类和审查，同时根据若干标准（例如弹性概念）进一步比较不同类型的方法。最后，本文提供了未来的研究方向，并确定了该领域的关键挑战。

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