DARe team members played a prominent role at the AUM 2026 symposium, through sponsorship, session leadership, and presenting different aspects of the Hub's research, showcasing the breadth of expertise across the team.
DARe has co-created a next-generation weather generator to help understand future climate-related impacts on transport infrastructure.
This study examines how railway drainage performance can be better predicted to reduce flooding and infrastructure failure risks, introducing a risk-based approach that classifies assets by the likelihood of deterioration between inspections.
This work uses a fully Bayesian Gaussian process emulator to efficiently predict the time‑dependent factor of safety of geotechnical slopes, enabling faster modelling of deterioration to support improved design, maintenance, and asset management decisions.
DARe research on an integrated modelling framework, part of DARe’s Integrated Modelling Platform, was presented at the 105th Transport Research Board (TRB) Annual Meeting in Washington, D.C.
Dr Yu Han attended the ACSP Annual Conference held in Minnesota, which brought together planning educators, researchers, and practitioners from around the world to exchange ideas on advancing resilient and equitable urban planning, governance, and education.
DARe team members received the Best Paper Award at the MATSim User Meeting 2025 for work on simulating extreme rainfall impacts on transport.
Following her attendance at the 20th Modelling World conference in Manchester, Dr Yimeng Liu shares key takeaways from the event.
DARe Hub team member David Alvarez Castro shares his thoughts after attending the 50th Transport Modellers Forum (TMF) Meeting, where he presented his work on using agent-based modelling to simulate active travel-focused transport policy scenarios.
Embankments constructed from clays experience a suite of weather-driven deterioration processes that lead to a progressive loss of performance and eventually to failures. This study aimed to predict the time to failure of aging, deteriorating clay embankments supporting transportation infrastructure.
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