We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Community fire prevention via population segmentation modelling.
- Authors
Taylor, Mark; Higgins, Emma; Lisboa, Paulo; Jarman, Ian; Hussain, Abir
- Abstract
In this article we examine the use of population segmentation modelling for targeting fire prevention to the needs of the community. A population segmentation approach based upon socio-economic characteristics data was developed to provide a deeper understanding of the fire risks associated with different social groups by a partnership consisting of a UK fire and rescue service, a National Health Service trust, a local council, and a police force. This approach supported more targeted and co-ordinated community fire prevention measures by the agencies involved. This approach was used to target those most at risk and improve intra-agency co-ordination and collaboration between the agencies involved. The modelling enabled differences in terms of the risk of fire-related injuries and fatalities between the population segments to be examined. Overall, the research examines how and why population segmentation was undertaken by the fire and rescue service studied, and how this was implemented and used operationally to support fire prevention activities. The project was funded by the UK Department of Communities and Local Government.
- Subjects
FIRE prevention; FIRE alarms; FIRE fighters; INSURANCE engineering; FIRE insurance
- Publication
Community Development Journal, 2016, Vol 51, Issue 2, p229
- ISSN
0010-3802
- Publication type
Article
- DOI
10.1093/cdj/bsv006