Modelling potential socio-economic determinants of building fires in south east Queensland

Chhetri, Prem, Corcoran, Jonathan, Stimson, Robert J. and Inbakaran, Robert (2009). Modelling potential socio-economic determinants of building fires in south east Queensland. In: Arthur Conacher, George Curry and Roy Jones, Geographical Research: 3rd State of Australian Cities Conference (SOAC). 3rd State of Australian Cities Conference (SOAC), Adelaide, Australia, (75-85). 27 November - 30 November 2007. doi:10.1111/j.1745-5871.2009.00587.x

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Author Chhetri, Prem
Corcoran, Jonathan
Stimson, Robert J.
Inbakaran, Robert
Title of paper Modelling potential socio-economic determinants of building fires in south east Queensland
Conference name 3rd State of Australian Cities Conference (SOAC)
Conference location Adelaide, Australia
Conference dates 27 November - 30 November 2007
Proceedings title Geographical Research: 3rd State of Australian Cities Conference (SOAC)   Check publisher's open access policy
Journal name Geographical Research   Check publisher's open access policy
Place of Publication Oxford, U.K.
Publisher Wiley-Blackwell Publishing
Publication Year 2009
Sub-type Fully published paper
DOI 10.1111/j.1745-5871.2009.00587.x
Open Access Status
ISSN 1745-5863
1745-5871
Editor Arthur Conacher
George Curry
Roy Jones
Volume 48
Issue 1
Start page 75
End page 85
Total pages 10
Collection year 2010
Language eng
Abstract/Summary This paper investigates the relationships between areas of building fire incidence, levels of socio-economic disadvantage and the underlying socio-economic characteristics in the South East Queensland (SEQ) region, Australia. Disaggregated fire incident data was acquired from the Queensland Fire and Rescue Service (QFRS) and then aggregated to the Statistical Local Area (SLA) level. The Australian Bureau of Statistics (ABS) defined index of socio-economic disadvantage (called ‘SEIFA’) has been used as the basis to identify relationships between socio-economic disadvantage and building fires. A regression model was then developed to predict the incidence of building fires using a range of socio-economic variables. Five significant predictors were identified that include: i) percentage of unemployed, ii) proportion of Indigenous population, iii) families living in separate dwellings, iv) one parent, and v) parent families with children less than fifteen years of age. Results also show that the distribution of building fires varies markedly across the SEQ region, with some of the Brisbane inner suburbs, areas of high socio-economic disadvantage, and parts of inland SEQ associated with relatively high fire rates.
Subjects 1604 Human Geography
920407 Health Protection and/or Disaster Response
E1
Keyword Building fires
Neighbourhood
Socio-economic disadvantage
Multivariate analysis
Geographic Information Systems
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article first published online: 30 JUL 2009

 
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Created: Sun, 21 Feb 2010, 00:07:53 EST