Adapting urban rail infrastructure to climate change (AdaptUrbanRail)
Development of a solution that integrates urban railway infrastructure features with climate change models and satellite images and climate data.
Goal
The AdaptUrbanRail goal is to improve the resilience of urban railway infrastructure from adverse future climate conditions by implementing climate adaptation strategy in design, construction, operation, and maintenance. The goal will be achieved by developing a solution that integrates urban railway infrastructure features with climate change models and Satellite images and climate data.
This project addresses the following short term targets:
- Better understanding of the climatic impact mechanism, causal relationship and trend projection of climate change for urban railway network.
- Developing resilient solution for urban railway infrastructure by integrating climate change model and satellite data in operation and maintenance plan.
- Developing cost benefit analyses for urban railway climate adaptation.
- Climate change risk and vulnerability analyses for urban railway network.
The long-term effect of the project outcomes are:
- Facilitate awareness of climate change impacts and integrate developed solutions to facilitate finance and business models,
- Strengthen the research in sustainable built environment at national and EU level,
- Strengthen collaboration among various urban planner, transport experts, and communities interested climate change impacts on citizen life,
- Improve the resilience of urban railway networks by climate adaptation.
- Facilitate modification and development of national policies and regulation.
The methodology implemented in the project can have significant impacts of more than 10% reduction in disruptions due to climate and 5-10% operation and maintenance costs due to the early alarm system (exc. the second-hand societal cost).
Project status and results
There is a need to study impacts of climate change on urban railway infrastructure with higher resolution and accuracy considering urban complexities. Figure 1 depicts increase in different failure modes of urban railway infrastructure connected to Stockholm, Göteborg and Skåne’s urban areas for the last 10 years extracted from TRV databases.
Sponsor: Vinnova, TRV, SMHI, InfraNord, WSP, BnearIT, JVTC
Researchers: Amir Garmabaki (PL), Uday Kumar, Matti Rantatalo, Adithya Thaduri, Johan Odelius, Stephen Famurewa, Ulla Juntti, Matthias Asplund, Veronica Jägare
Duration: 2021-2023
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