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
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 2.0MB, Terms of use)
-
- Publisher copy:
- 10.1111/risa.12840
Authors
- 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:
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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
Terms of use
- Copyright holder:
- Society for Risk Analysis
- Copyright date:
- 2017
- Notes:
- © 2017 Society for Risk Analysis. This is the accepted manuscript version of the article. The final version is available online from Wiley at: https://doi.org/10.1111/risa.12840
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