Fire risk assessment with scoring system, using the support vector machine approach

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

26 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)188-195
Journal / PublicationFire Safety Journal
Volume78
Online published24 Oct 2015
Publication statusPublished - Nov 2015

Abstract

An accurate and comprehensive fire risk assessment is very important in a civilized society which provides the stakeholders with the likelihood of fire outbreaks, a rough estimation of people at risk and property losses. Hence, the government can better allocate resources for fire protection strategies. Much research has been carried out on assessment of residential fire risk objectively and quantitatively. These works can be complemented so that the assessment task can be more comprehensive and systematic. This paper proposes a fire risk scorecard based on a scoring system used in banking and insurance industry. Different fire risk factors are weighed by Analytic Hierarchy Process (AHP). Then, industrial and non-industrial buildings are treated as borrowers, the fire risk of each building is assessed and its risk level is identified. Finally, real data are applied to test the fire risk scorecard. The results of the scorecard and support vector machine (SVM) model are then proved to be effective.

Research Area(s)

  • Fire risk assessment, Scoring system, Support vector machine

Citation Format(s)

Fire risk assessment with scoring system, using the support vector machine approach. / Lau, Chun Kit; Lai, Kin Keung; Lee, Yan Pui et al.
In: Fire Safety Journal, Vol. 78, 11.2015, p. 188-195.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review