Purpose: This paper aims to develop an efficient model able to reduce catastrophicconsequences and the significant number of victims resulting from fires at construction sites. The paperproposes probabilistic modeling aimed to minimize the probability of failure of a construction site.Methodology: The developed model in this paper consists of modeling fire hazards, the vulnerabilityof the potential targets, and the risk within construction sites. The optimization algorithm called“differential evolution” is used in order to determine the optimal site layout, which is characterized byhaving the smallest overall probability of failure. A numerical simulation is performed to delineatean appropriate probability density function of the failure of the site. In addition, a geographicinformation system (GIS) is used to display the spatial variability of fire risk on a construction site.Findings: The paper provides an efficient model to enhance site layout planning and assign locationsfor supporting temporary facilities at appropriate positions within a construction site. The modelis examined through applying it on a simple case study containing numerous facilities. All thesefacilities are considered vulnerable targets and some of them are potential fire hazards, with differentintensity values. Value: Most of the previous research focuses on travel cost distance in developingsite layout planning models. This paper fulfills the development of a valuable model able to generatean optimized construction site layout by minimizing the probability of failure of the whole site. It willassist the decision makers and the risk managers in identifying the riskiest zones on a construction site

Title

Sustainability

Publisher

MDPI

Publisher Country

Switzerland

Indexing

Thomson Reuters

Impact Factor

2.576

Publication Type

Both (Printed and Online)

Volume

12

Year

2020

Pages

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