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Geographic Hotspots of Critical National Infrastructure

机译：国家关键基础设施的地理热点

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摘要

Failure of critical national infrastructures can result in major disruptions to society and the economy. Understanding the criticality of individual assets and the geographic areas in which they are located is essential for targeting investments to reduce risks and enhance system resilience. Within this study we provide new insights into the criticality of real-life critical infrastructure networks by integrating high-resolution data on infrastructure location, connectivity, interdependence, and usage. We propose a metric of infrastructure criticality in terms of the number of users who may be directly or indirectly disrupted by the failure of physically interdependent infrastructures. Kernel density estimation is used to integrate spatially discrete criticality values associated with individual infrastructure assets, producing a continuous surface from which statistically significant infrastructure criticality hotspots are identified. We develop a comprehensive and unique national-scale demonstration for England and Wales that utilizes previously unavailable data from the energy, transport, water, waste, and digital communications sectors. The testing of 200,000 failure scenarios identifies that hotspots are typically located around the periphery of urban areas where there are large facilities upon which many users depend or where several critical infrastructures are concentrated in one location.
机译：关键的国家基础设施的故障可能导致对社会和经济的重大破坏。了解个人资产的重要性以及它们所处的地理区域对于确定投资目标以降低风险和增强系统弹性至关重要。在本研究中，我们通过集成有关基础设施位置，连通性，相互依赖性和使用情况的高分辨率数据，提供了对现实生活中关键基础设施网络的重要性的新见解。我们针对可能因物理上相互依赖的基础架构故障而直接或间接中断的用户数量提出了基础架构关键性的度量。内核密度估计用于集成与单​​个基础结构资产相关联的空间离散的临界值，从而生成一个连续的表面，从中可以识别出具有统计意义的基础设施临界热点。我们为英格兰和威尔士开发了一个全面而独特的全国规模的演示，该演示利用了能源，交通，水，废物和数字通信领域以前无法获得的数据。对200,000个故障场景的测试表明，热点通常位于城市外围，那里有许多用户依赖的大型设施，或者几个关键基础设施集中在一个位置。

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