Towards development of a predictive model for structure fire – a review of the literature

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The principles of firefight have remained relatively unchanged throughout time, that is firefighters are on standby ready to respond as quickly as possible (Smith et al 2016). But what if Information Systems tools and technology could make a change to the way that risk is identified and resources allocated and deployed. A review of Fire Fighting literature and examination of four exemplar case studies demonstrates that analytics could provide emergency managers with a toolset that could be used to make informed decisions on future fire emergency scenarios. We propose using the SCOR supply chain management concepts and applying these to the firefighting industry combined with predictive analytics to identify at risk properties. Firefighting appliances could be pre-deployed to locations that were at higher risk of structure fire thus reducing response times, which could save life, reduce damaging and environmental impact.

Original languageEnglish
Title of host publicationAMCIS 2017 proceedings
Subtitle of host publication23rd Americas Conference on Information Systems
Place of PublicationBoston, MA
PublisherAssociation for Information Systems
Number of pages5
ISBN (Electronic)9780996683142
Publication statusPublished - 2017
Event23rd Americas Conference on Information Systems, AMCIS 2017 - Boston, United States
Duration: 10 Aug 201712 Aug 2017


Conference23rd Americas Conference on Information Systems, AMCIS 2017
Country/TerritoryUnited States


  • Emergency Management
  • Fire
  • Prediction
  • Structure Fire


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