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Geographic Hotspots of Critical National Infrastructure
Scott Thacker1, Stuart Barr2, Raghav Pant1
1Environmental Change Institute, University of Oxford, South Parks Road, Oxford, UK.
Critical national infrastructure failure can disrupt society. This study identifies critical infrastructure hotspots, often near urban peripheries, by analyzing user disruption from asset failure to enhance resilience.
Area of Science:
- Infrastructure resilience
- Network analysis
- Risk assessment
Background:
- National infrastructure failures cause significant societal and economic disruption.
- Understanding asset criticality and geographic location is key to risk reduction and resilience enhancement.
- Existing studies often lack integrated, high-resolution data on infrastructure networks.
Purpose of the Study:
- To provide new insights into the criticality of real-life critical infrastructure networks.
- To propose a novel metric for infrastructure criticality based on user disruption.
- To identify critical infrastructure hotspots in England and Wales.
Main Methods:
- Integration of high-resolution data on infrastructure location, connectivity, interdependence, and usage.
- Development of a user-disruption-based criticality metric.
- Application of kernel density estimation to identify criticality hotspots.
- Analysis of 200,000 failure scenarios across energy, transport, water, waste, and digital communications sectors.
Main Results:
- Identification of critical infrastructure hotspots, frequently located at the periphery of urban areas.
- Hotspots are associated with large, user-dependent facilities or concentrations of multiple critical infrastructures.
- The study provides a comprehensive national-scale demonstration for England and Wales.
Conclusions:
- The developed criticality metric and hotspot identification method offer valuable tools for targeted investment in infrastructure resilience.
- Understanding spatial concentrations of criticality is essential for effective risk management.
- Findings highlight the importance of considering interdependencies and user impact in infrastructure planning.
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