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首页> 外文期刊>Journal of Infrastructure Systems >CLARC: An Artificial Community for Modeling the Effects of Extreme Hazard Events on Interdependent Civil and Social Infrastructure Systems
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CLARC: An Artificial Community for Modeling the Effects of Extreme Hazard Events on Interdependent Civil and Social Infrastructure Systems

机译：CLARC：一个用于模拟极端危险事件对相互依赖的民用和社会基础设施系统影响的人工社区

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During the development of a suite of computer-aided decision support tools for the restoration of interdependent infrastructures impacted by an extreme natural hazard event, it became apparent that the release of vulnerability data on actual infrastructure systems could raise security concerns. As a result, an artificial and customizable infrastructure dataset was developed based on experiences with creating real, but not public, data that can be used for modeling, analysis, and decision making. The purpose of this paper is to describe the rationale and methodology for assembling the database for customizable artificial community (CLARC), an artificial coastal community of approximately 500,000 people and 1,065 square miles, that includes five civil infrastructure networks (electricity, water, wastewater, transportation, and communications) and social infrastructures, such as public safety, healthcare, and critical commercial services including fuel and banking that communities rely upon during an emergency as well as population and other socio-economic factors. The interdependencies that exist between the civil infrastructure systems and between civil and social infrastructures are included in the dataset and are attributes to assist with modeling and analysis. This paper discusses the dataset in detail, describes why and how it was assembled, and includes a virtual case study that uses the CLARC dataset to simulate the impacts on the civil and social infrastructure of a hypothetical Category 3 hurricane and the community's response and recovery from that event. The dataset is openly available for use by the research and practitioner communities.
机译：在开发一套用于恢复受极端自然灾害事件影响的相互依赖的基础结构的计算机辅助决策支持工具的过程中，很明显，在实际基础结构系统上发布漏洞数据可能会引起安全问题。结果，根据创建真实但非公开的数据的经验开发了人工的和可定制的基础结构数据集，该数据可用于建模，分析和决策。本文的目的是描述为可定制人工社区（CLARC）组装数据库的原理和方法，该社区是一个约有500,000人和1,065平方英里的人工沿海社区，其中包括五个民用基础设施网络（电，水，废水，交通和通讯）以及社会基础设施，例如公共安全，医疗保健和重要的商业服务，包括社区在紧急情况下依赖的燃料和银行业务以及人口和其他社会经济因素。数据集中包括了民用基础设施系统之间以及民用和社会基础设施之间的相互依赖关系，它们是有助于建模和分析的属性。本文详细讨论了该数据集，描述了为什么以及如何进行组装，并包括了一个虚拟案例研究，该案例使用CLARC数据集来模拟假设的3级飓风对公民和社会基础设施的影响以及社区的响应和恢复。那件事。该数据集可公开供研究和从业人员使用。

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