2016
DOI: 10.1051/matecconf/20166600109
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The analysis of fire losses and characteristics of residential fires based on investigation data in Selangor, 2012-2014

Abstract: 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 th… Show more

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Cited by 7 publications
(16 citation statements)
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“…As the focus of this article, the residential sectors are made up of small energy consumers and users, such as houses and apartments. The research suggested that the residential energy consumers [5] waste 41% of the power supplied to their homes. Various research and trials have been shown that on average, savings of 7.8% to 16.7% home energy can be achieved by using a home energy monitoring system [6,7].…”
Section: Literature Reviewmentioning
confidence: 99%
“…As the focus of this article, the residential sectors are made up of small energy consumers and users, such as houses and apartments. The research suggested that the residential energy consumers [5] waste 41% of the power supplied to their homes. Various research and trials have been shown that on average, savings of 7.8% to 16.7% home energy can be achieved by using a home energy monitoring system [6,7].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The factor influences perceived risk in dwelling fires can be classified into three factors which include individual based, physical and social. Individual based factors that influence perceived risk is summarised in Table 7 Characteristic of Occupant Author Personality (Kobes et al, 2010;Wang et al, 2015) Personal Behaviour (Kobes et al, 2010;Liu, Rui;Du,Jing;Issa, 2014;Proulx, 2001;Tan et al, 2016;Xiong et al, 2017;Yenumula et al, 2015) Individual characteristic (Kobes et al, 2010) Demographics (Andersson et al, 2015) Attitude (Shi et al, 2009) Travel speed (Kobes et al, 2010;Tan et al, 2016;Zhang & Issa, 2015) Movement types (Grindrod, 2014;Kobes et al, 2010;Xiong et al, 2017) Sizes (Kobes et al, 2010), (Tan et al, 2016;Zhang & Issa, 2015) Observational abilities (Wang et al, 2015) Responsibility for other evacuees (Kobes et al, 2010;Wang et al, 2015;Zhang & Issa, 2015) Familiarity with building layout (Kobes et al, 2010…”
Section: Influence Of Perceived Riskmentioning
confidence: 99%
“…Behaviour of others (Kobes et al, 2010;Zhang & Issa, 2015) Social Attribution (Kobes et al, 2010;Xiong et al, 2017;Zhang & Issa, 2015) Social Deprivation (Holborn et al, 2003) Social Economic characteristic (Tan et al, 2016)…”
Section: Social Factors Authorsmentioning
confidence: 99%
“…Therefore, these factors allow a greater time for people to evacuate to safe areas before a fire takes hold and thus, saves more lives. Overall, from 2006 to 2014, the average rate of fire cases in Malaysia is up to 1024.67 fires per million people for each year [1]. From statistics, 7.53 per million populations each year is the rate of fire victims with 3.07 deaths per million populations.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, approximately 90 residential fires per million populations occurred each year. By taking into account fire casualties, it is about a 30% increase in the total number of victims in residential fires within 3 years [1].…”
Section: Introductionmentioning
confidence: 99%