An analysis of fatal unintentional dwelling fires investigated by London Fire Brigade between 1996 and 2000

Holborn, P.G.; Nolan, P.F.; Golt, J

doi:10.1016/s0379-7112(02)00049-8

Cited by 129 publications

(86 citation statements)

References 19 publications

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“…They also found that the condition preventing escape, condition before injuries, activity at time of injury, location at ignition and cause of injury to be the significant personal factors. Analysis by Holborn et al [4] highlighted the common risk factors of unintentional dwelling fire deaths which comprised of smoking, alcohol intake, elderly, disability, illness, living alone, social deprived, and without having a functioning smoke alarm. Epidemiology study, such as Runyan et al [5], also proved that mobile home and absence of smoke detectors will result in the risk of fire death.…”

Section: Introductionmentioning

confidence: 99%

The analysis of fire losses and characteristics of residential fires based on investigation data in Selangor, 2012-2014

2016

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Abstract. This is a research in progress where authors seek to investigate the factors of residential fires. As part of the research, this paper aims to analyse the fire problems faced by the community of Malaysia. Data regarding residential fires between 2012 and 2014 was collected from fire investigation reports prepared by the Selangor Fire and Rescue Department. Descriptive analysis is conducted to summarize the data collected and describe the common phenomenon of residential fires. The distributions of the fire characteristics suggested that residential fires are commonly occurred during daytime, confined within the room of fire origin, caused by electrical failure and cooking negligence, started from kitchen, and occurred in multi-units housing. Further analysis will be conducted in order to investigate the relationships between the characteristics and residential fires.

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Section: Introductionmentioning

confidence: 99%

The analysis of fire losses and characteristics of residential fires based on investigation data in Selangor, 2012-2014

2016

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“…Lizhi and Aizhu (2008) had discussed the use of k-means cluster analysis of fire incidence data that included the time of occurrence, the number of fires, the economic losses and the number of casualties for fire risk analysis purposes. Risk analysis has been undertaken by a variety of individual government agencies representing the emergency services, healthcare and social services for some time (Taylor et al, 2011;Holborn et al, 2003;Card et al, 2012). Gielen et al (2013) commented that community health workers and community partnerships can be useful in promoting fire departments' fire safety initiatives.…”

Section: Public Sector Collaborative Workingmentioning

confidence: 99%

Community fire prevention via population segmentation modelling

et al. 2015

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In this paper 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.

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“…Previous research identified that dwelling fires are not uniformly spread amongst the population, but are more likely to occur in communities with a high proportion of individuals from at risk groups such as the elderly, the disabled, and the deprived (Chien and Wu, 2008;Zhang et al, 2006;Holborn et al, 2003). A more detailed understanding of the relationships between population characteristics and the risk of dwelling fire would enable fire and rescue services to make informed decisions regarding fire prevention activities.…”

Section: Fire Preventionmentioning

confidence: 99%

The evolution of geographical information systems for fire prevention support

Higgins

Taylor

Francis

et al. 2014

Fire Safety Journal

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Geographical information systems (GIS) provide visual map based analysis and reporting of information implemented in map layers. Geographical information systems evolve by incorporating new and enhanced means of analyzing and presenting location based information. In this paper we examine the evolution of a geographical information system for fire prevention support that evolved through transitions of the underlying approach to analysis of dwelling fire risk over a six year period 2007 to 2013. The novel theoretical contribution of this paper is the examination of the evolution of GIS analysis and modelling approaches, and in the specific context of fire and rescue services, the examination of the evolution of a fire prevention support GIS.

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An analysis of fatal unintentional dwelling fires investigated by London Fire Brigade between 1996 and 2000

Cited by 129 publications

References 19 publications

The analysis of fire losses and characteristics of residential fires based on investigation data in Selangor, 2012-2014

The analysis of fire losses and characteristics of residential fires based on investigation data in Selangor, 2012-2014

Community fire prevention via population segmentation modelling

The evolution of geographical information systems for fire prevention support

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