Summary: | 碩士 === 國立嘉義大學 === 土木與水資源工程學系研究所 === 105 === With the rapid development of geographic information systems (GIS) in recent years, analyzing and mapping disaster hot spots through spatial autocorrelation analysis and spatial hot spot analysis have become easier. The locations of fire hot spots have become one of the main aspects of fire prevention and rescue measurement.
This study applied spatial autocorrelation statistics to analyze fire events in Chiayi County from 2011 to 2016 by importing their coordinates, their time of occurrence, the type of structure, and the number of injuries to people. Average nearest neighbor analysis and spatial autocorrelation analysis were employed to realize the spatial aggregation characteristics of fires. Hot spot analysis was used to analyze fire-prone areas in a 1000 m × 1000 m grid and to evaluate their locations with respect to the urban planning district area through an overlay analysis in GIS. Spatial autocorrelation analysis and hot spot analysis in GIS were used to generate a fire event hot spot map for Chiayi County. The results reveal that the hot spots of residential fires had aggregation characteristics and strong correlations with urban development areas with a high population density, old buildings, and areas with an aging population. Industrial fire hot spots were located in large industrial zones. Wildfire hot spots were located in tomb and farming areas. The analysis provides fire risk information that residents can use to reduce property losses and government fire departments can use to implement fire prevention measures.
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