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Building systemic resilience of interdependent infrastructure networks at the national scale

Lead Research Organisation: University of Oxford
Department Name: Geography - SoGE

Abstract

Building resilience of national infrastructure networks to flood and storm events remains a significant challenge in the UK. In recent years extreme flood and storm events across the UK have affected large numbers of infrastructure networks and their customers, resulting in economic damages and losses of the order of tens of millions of pounds. As extreme flood and storm events become more frequent due to climate change, understanding and modelling the impacts of shocks across multiple infrastructure networks to inform resilience planning is a topic of national importance. Government agencies and infrastructure operators have noted that the lack of coherent datasets of interconnected networks and cross-sectoral resilience metrics makes it challenging to plan for and respond to extreme large-scale weather events.

This project aims to address the above challenges by delivering an open-source modelling framework on the DAFNI platform for stress-testing interdependent network resilience against flood and storm events. This framework will be demonstrated through a novel national-scale database of interdependent electricity, transport, water supply, and telecoms networks connected to buildings and population concentrations in the UK. The original research and data collection that created the network risk analysis methodologies was conducted as part of the EPSRC-funded Infrastructure Transitions Research Consortium Programme Grants and with the National Infrastructure Commission. This project will update that analysis and implement it in an accessible, reusable and scalable way on the DAFNI platform. The proposed outcomes of the project will include quantifying the impacts of shocks through damages to infrastructure assets and disruptions to people and the economy dependent on infrastructure services. Further outcomes will include assessing cross-sector resilience options for resisting, absorbing and recovering from shock events, by strengthening infrastructure assets, installing service backups and increasing redundancies across networks. Overall, the project will create novel models, datasets, and tools on infrastructure resilience that will be available to academic, government and industry stakeholders via the DAFNI platform.

The project will contribute towards the 'Exploring Resilience Scenarios' theme to enhance the capabilities of the DAFNI Centre of Excellence for Infrastructure Resilience Analysis. Through the DAFNI platform it will: (1) develop collections of models and data; (2) provide tools for exploring and evaluating resilience scenarios across locations and multiple infrastructures; and (3) demonstrate the DAFNI platform to the wider stakeholder community within academia, government and industry.

Publications

10 25 50
 
Description Ofgem Climate Resilience Expert Panel
Geographic Reach National 
Policy Influence Type Participation in a guidance/advisory committee
 
Description Maximising UK adaptation to climate change hub
Amount £4,451,575 (GBP)
Funding ID NE/Z50385X/1 
Organisation Natural Environment Research Council 
Sector Public
Country United Kingdom
Start 04/2024 
End 04/2027
 
Title DAFNI-NIRD 
Description DAFNI National Infrastructure Resilience Demonstrator (NIRD) is a Python model for stress-testing roads in Great Britain to flood events. The model simulates traffic flows across the whole of Great Britain, based on a journey-to-work Origin-Destination (OD) matrix. It represents capacity and congestion limitations of the road network. It is then used for stress-testing flood event impacts, but inferring the damages road links and the result costs of rerouting flows across the network. This way the model represents the direct and indirect impacts of flooding on road networks in Great Britain. The model has been calibrated for 2021 OD journey patterns in Great Britain and has been stress-testing for a number of historic flood events - such as the 2007 summer floods, 2015-2016 winter floods. The model is publicity available on GitHub. 
Type Of Material Computer model/algorithm 
Year Produced 2025 
Provided To Others? Yes  
Impact This model has been recently developed, so the impacts are still be realised. It will be used in work that will feed into the UK Maximising Adaptation to Climate Change Hub (MACC Hub) program. 
URL https://github.com/nismod/DAFNI-NIRD
 
Description OPSIS-JBA UK flood event sets partnership 
Organisation JBA Trust
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Through this project we entered into a partnership with JBA Trust and JBA Consultancy to use flood event sets for UK for stress testing infrastructure networks. Our team is utilising the JBA flood event sets for UK to evaluate the vulnerability to road networks in the UK.
Collaborator Contribution JBA has provided samples of their state-of-the-art flood historical flood event sets for UK, which are the best available model representation of historical flood events from 1953-2024. These are used extensively in the UK insurance industry for catastrophic risk modelling.
Impact The flood maps are being used for the analysis of failures of UK's road networks. We are currently creating outputs and writing a paper on the analysis.
Start Year 2024
 
Description Ofgem climate resilience expert panel 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Policymakers/politicians
Results and Impact I was invited to be part of the Ofgem panel for climate resilience of energy networks, which is an ongoing engagement. The panel involved academics and industry partners from across the UK. On the panel I have spoken about my team's research in this project. Ofgem is interested in building a framework for climate resilience stress testing, which I am contributing to as a expert advisor.
Year(s) Of Engagement Activity 2024,2025