Developing data visualisation tools to reduce fire related deaths and injuries
Project Supervisors: Professor Niamh Nic Daeid and Professor Sue Black
Project Summary: An exploration of fire fatalities in Scotland using data routinely collected by the fire and rescue service was combined with Scottish Multiple Deprivation Index data and data available from morbid toxicology reports relating to fire fatalities as a pilot proof of concept study. This demonstrated that the combined dataset provided a greater depth to the understanding of the circumstances surrounding fire fatalities. The proposed project builds on this approach in a three part process.
Part 1 - A gap analysis of the current data collected for fire fatality incidents and ‘near misses’ across Scotland for a 3 year period will review the current data recorded by the Fire and rescue service and assess what data is missing but available.
Part 2 – A new bespoke multi agency combined data set which would facilitate the creation of a geospatial information system linked by GPS coordinates and containing layers of specific data from a variety of partner areas such as ambulance services, social work, NHS/GP etc. will be developed.
Part 3 – The development of data visualisation methods for identifying and combining risk factors to generate evidence based identification tools for those with heightened risk of fire death or injury. This has the potential to create a dynamic predictive tool indicating increases and decreases of fire fatality risk across geographical areas.
The data interpretation part of the project (part3) will be supported by the DataLab innovation centre providing vibrant investigative pathways for exploring the big data sets generated. Overall the project provides unprecedented access to data relating to fire fatalities and injuries, facilitating for the first time, an exciting opportunity to address a major societal issue around the reduction in serious injuries and loss of life relating to fire incidents.