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Journal article

Geographic hotspots of critical national infrastructure

Abstract:
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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1111/risa.12840

Authors


More by this author
Institution:
University of Oxford
Division:
Social Sciences Division
Department:
SOGE
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Social Sciences Division
Department:
SOGE
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Environmental Change Institute
Role:
Author
ORCID:
0000-0002-2024-9191


Publisher:
Wiley
Journal:
Risk Analysis More from this journal
Volume:
37
Issue:
12
Pages:
2490-2505
Publication date:
2017-06-12
Acceptance date:
2017-02-24
DOI:
EISSN:
1539-6924
ISSN:
0272-4332
Pmid:
28605055


Language:
English
Keywords:
Pubs id:
pubs:700917
UUID:
uuid:d830f91d-0a74-4dbf-8fe3-7f199106dfdf
Local pid:
pubs:700917
Source identifiers:
700917
Deposit date:
2018-04-13

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