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| GEO-SAFE - Geospatial based Environment for Optimisation Systems Addressing Fire Emergencies (GEO-SAFE) |
May 2016 – April 2020
Project reference: 691161
Project Co-Ordination: FSEG University of Greenwich.
Funded by: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)
Project Budget Contribution from the EU: €1,080,000.00
In the EU and Australia, every year thousands of square miles of forests and other regions burn due to wildfires. These fires result in significant economic and ecological losses, and often, human casualties. Both EU and Australian governments are aware of how crucial it is to improve the management and containment of wildfires. Scientists from different specialties, both in EU and Australia, have already developed methods and models in order to improve the management and decision process pertaining to preparedness and response phases in case of bushfire.
The Geospatial based Environment for Optimisation Systems Addressing Fire Emergencies (GEO-SAFE) project, co-ordinated by FSEG of the University of Greenwich, is a four year project (running from May 2016 to April 2020) with 17 partners from 7 countries (United Kingdom, Spain, Italy, France, Switzerland, Netherlands and Australia) with an estimated project cost of €1,386,000.00. The aim of GEO-SAFE is to create a network enabling the two regions to exchange knowledge, ideas and experience, thus boosting the progress of wildfires knowledge and the related development of innovative methods for dealing efficiently with such fires. Major outcomes of this project are implementing solutions and tools in fire suppression, life and goods protection, and implementation and training. The three main fire management domains addressed in GEO-SAFE are: ‘Fire Suppression and Fire propagation control’, ‘Life and Property Protection’ and ‘Implementation and Training’. FSEG’s main role in this project is in the domain of Life protection. The three main breakthroughs to be achieved in this domain are:
- Computing efficiently good solutions for micro evacuation simulation software is vital for applying them to large open spaces such as found in wild fire applications.
- Identification and quantification of the human behaviour associated with wildfire evacuation scenarios.
- Developing specific models dedicated to wildfire constraints and merging both agent-based simulation and OR approaches is a challenging direction of research for handling large-scale evacuation.