Environmental Change Institute, University of Oxford, South Parks Road, Oxford, UK.
School of Civil Engineering and Geosciences, Newcastle University, Newcastle Upon Tyne, UK.
Risk Anal. 2017 Dec;37(12):2490-2505. doi: 10.1111/risa.12840. Epub 2017 Jun 12.
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.
关键国家基础设施的失效可能会导致社会和经济的重大中断。了解单个资产的关键性以及它们所在的地理区域对于针对投资以降低风险和增强系统弹性至关重要。在本研究中,我们通过整合基础设施位置、连接性、相互依存性和使用情况的高分辨率数据,为现实生活中的关键基础设施网络的关键性提供了新的见解。我们提出了一种基础设施关键性的度量标准,即可能因物理相互依存的基础设施失效而直接或间接受到干扰的用户数量。核密度估计用于整合与单个基础设施资产相关的空间离散关键性值,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关键性热点。我们为英格兰和威尔士开发了一个全面而独特的国家级示范,利用了能源、交通、水、废物和数字通信部门以前无法获得的数据。对 20 万种失效场景的测试表明,热点通常位于城市边缘地区,这些地区有许多用户依赖的大型设施,或者有几个关键基础设施集中在一个地方。