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All Journal Journal of Engineering, Technology, and Applied Science (JETAS)
Alshutairi, Abdulmohsen
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics

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Spatiotemporal Analysis and Mapping of Fire Incidents Using GIS Technology Alrwais, Omer; Alshutairi, Abdulmohsen
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 6 No 2: August 2024
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0602.683

Abstract

Spatiotemporal fire analysis and mapping can enable policymakers to develop effective fire management strategies that optimize the allocation of necessary resources. Efficient urban fire management requires a well-coordinated regional planning and response system. The primary objective of this paper is to analyze the spatiotemporal patterns of fire incidents in Austin, Texas, utilizing geospatial technologies. This study specifically addresses deficiencies in fire protection planning in Austin, along with the new challenges posed by the city’s rapid expansion. The fire risk and vulnerability of buildings in Austin were assessed using Geographic Information System (GIS) technology. GIS was also employed to identify potential sites for new fire stations and to optimize the design of existing stations based on fire risk assessments. This paper focuses on developing a GIS-based fire information system for the Austin Fire Department to determine the optimal route to fire incidents. The research produced a fire incidence distribution map and examined fire occurrence patterns using spatial statistical methods, including location identification, frequency analysis, and evaluation of fire hazard vulnerability and exposure. Based on the findings, the establishment of new fire stations is recommended, particularly in areas with high fire risk. The fire information system developed to identify optimal routes could be integrated with construction and cadastral inventory data to form a more comprehensive decision support system.
Co-Authors Alrwais, Omer