Corcoran, J, Higgs, G, Brunsdon, C et al. (2 more authors) (2007) The use of spatial analytical techniques to explore patterns of fire incidence: A South Wales case study. Computers, Environment and Urban Systems, 31 (6). pp. 623-647. ISSN 0198-9715
Abstract
The application of mapping and spatial analytical techniques to explore geographical patterns of crime incidence is well established. In contrast, the analysis of operational incident data routinely collected by fire brigades has received relatively less research attention, certainly in the UK academic literature. The aim of this paper is to redress this balance through the application of spatial analytical techniques that permit an exploration of the spatial dynamics of fire incidents and their relationships with socio-economic variables. By examining patterns for different fire incident types, including household fires, vehicle fires, secondary fires and malicious false alarms in relation to 2001 Census of Population data for an area of South Wales, we demonstrate the potential of such techniques to reveal spatial patterns that may be worthy of further contextual study. Further research is needed to establish how transferable these findings are to other geographical settings and how replicable the findings are at different geographical scales. The paper concludes by drawing attention to the current gaps in knowledge in analysing trends in fire incidence and proposes an agenda to advance such research using spatial analytical techniques.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | GIS; Fire incidence; Spatial statistics; Regression; Visualisation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Jul 2016 10:23 |
Last Modified: | 03 Nov 2016 07:48 |
Published Version: | http://dx.doi.org/10.1016/j.compenvurbsys.2007.01.... |
Status: | Published |
Publisher: | Elsevier Ltd |
Identification Number: | 10.1016/j.compenvurbsys.2007.01.002 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:100303 |