Active Engineering Clean Energy

Research Hub for Decarbonised Adaptable and Resilient Transport Infrastructures (DARe)

In plain English

AI plain-English summary

Transport planners will soon be able to run computer simulations that stress-test the UK’s roads, railways, and ports against climate change and population growth before spending a single pound on construction. The problem is that transport infrastructure—from motorways to local bus routes—is currently planned in silos, with little coordination between national, regional, and local levels. This makes it nearly impossible to spot vulnerabilities that cut across scales, such as a flood that knocks out both a major rail line and the local power grid serving a town. The research also addresses a hidden risk: as the UK decarbonises transport, new dependencies on digital and power infrastructure could create fresh failure points. If the hub succeeds, decision-makers will have open-source models that show how transport systems perform against resilience and net-zero goals, now and decades ahead. They will be able to ask “what if” questions—what happens if electric vehicle adoption surges, or if sea levels rise faster than expected—and prioritise early investments accordingly. The work focuses on North East and North West England, Scotland, and Cambridgeshire, but the modelling framework will be transferable nationwide.

View original technical description
Our Vision is for climate resilient, net zero development of the transport system to be guided by systems analysis. When this vision is realised, decision-makers will have access to (and visualisation of) data that tells them how transport is performing against resilience, decarbonisation, and other objectives, now and in the future. We will deliver them systems models that will help to pinpoint vulnerabilities and quantify the risks of failure. This will enable them to perform 'what-if' analysis of proposed investments and to stress-test scenarios for the major uncertainties that will determine the performance of future transport systems, such as population growth, new materials and technologies and climate change. Our ambition is to deliver co-created research that plots viable pathways and solutions for delivering a resilient, net-zero transport system that works for people and communities by 2050. DARe will be the go-to Hub because we will engage widely and proactively, and provide the evidence, guidance and tools to decision-makers that will enable them to prioritise early interventions and investments. . Our research programme will take a system-of-systems led approach to transport which recognises and addresses the challenges at the three, distinct but critically interlinked, scales of national, regional and local. It will address the interwoven challenges of resilience and net zero, for both existing and new transport infrastructures, and identify and provide solutions for new vulnerabilities that may occur because of the net zero transition, including critical interdependencies with digital and power infrastructures. It will demonstrate the benefits and opportunities that come from reimagining and rethinking how our transport systems deliver mobility to both people and the goods and services our economy relies on, and will offer insight on how governance and policy can enable and drive these changes. We have shaped our research programme in consultation with our multiple civic partners in North East and North West England, Northumberland, Cambridgeshire & Heartland and Scotland as well as our strong cohort of additional partners. DARe will build on this by opening the partnership to all and proactively engage in a programme of co-creation events during the first nine months to jointly define scenarios and storylines leading us towards addressing the dual challenge of decarbonising our local regional and national transport infrastructures whilst increasing their resilience and adaptability in a context of climate change. The role and participation of the wider research community via the DARe Flexible Fund will be instrumental in delivering this. The DARe work programme comprises five integrated work packages (WPs), four focussed research activities plus a management WP. WP1 delivers the co-created transport futures storylines which shape the research activities of the hub and develops the storylines to stress-test solutions across the three spatial scales, contextualised by the systems-of-systems interactions between transport-power-digital critical infrastructures. WP2 provides a new, transferable open-source modelling framework that will be co-developed with and made available to the wider community as a legacy of DARe. WP3 will address the physical implications for infrastructure assets and how their climate-perturbed performance will impact whole-life management. WP4 will provide insights into the wider implications and real-world impacts of the storylines when considering the policy, socio-economic, behavioural and land use planning aspects of the hub. WP0 will be dedicated to hub management, governance and engagement.

View the original record at the funder ↗

Researchers

Abir Al-Tabbaa (Co-Investigator)Ajith Kumar Narayanan Parlikad (Co-Investigator)Alistair Ford (Co-Investigator)David Flynn (Co-Investigator)Hayley Jane Fowler (Co-Investigator)James Woodcock (Co-Investigator)Jennifer Schooling (Co-Investigator)Kristen MacAskill (Co-Investigator)Li Wan (Co-Investigator)Phil Blythe (Principal Investigator)Philip Greening (Co-Investigator)Philip James (Co-Investigator)Richard Dawson (Co-Investigator)Roberto Palacin (Co-Investigator)Stephanie Glendinning (Co-Investigator)Stuart Barr (Co-Investigator)Ying Jin (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

DecarboN8 - An integrated network to decarbonise transport
TransiT - Digital Twinning Research Hub for Decarbonising Transport
National Edge AI Hub for Real Data: Edge Intelligence for Cyber-disturbances and Data Quality
EPSRC Centre for Doctoral Training in Resilient Decarbonised Fuel Energy Systems
Flood-PREPARED: Predicting Rainfall Events by Physical Analytics of REaltime Data

Original classification

Research Grant

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.