Analysis of Spatial Clustering Patterns of Fire Misidentification Through Spatial Autocorrelation Analysis: Focusing on Gyeongsangbuk-do

Semyeoung Lee
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Abstract

In fire departments with a high number of false fire dispatches, firefighters’ work stress is expected to be high because of excessive dispatch work. Therefore, after analyzing the spatial clustering pattern of the study area, we examined whether the opening and deployment of fire departments in the area was efficient and appropriate. Global Moran’s I analysis confirmed that there was spatial autocorrelation between the Gyeongsangbuk-do regions. Through local Moran’s I and hotspot (Getis-Ord’s Gi*) analysis, regions with high and low frequencies of fire misreporting were derived. Examination of the opening and deployment of firefighters in the region suggested that regions with a high average number of dispatches to the 119 Safety Center need to increase the number of firefighters, and that regions where the 119 Safety Center is concentrated should prepare measures to disperse firefighting forces to the surrounding regions.
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通过空间自相关分析对火灾误判的空间聚类模式进行分析:以庆尚北道为中心
在虚假火警派遣次数较多的消防队中,由于派遣工作过多,消防员的工作压力会很大。因此,在分析了研究地区的空间聚类模式后,我们考察了该地区消防队的开设和部署是否高效和适当。全局莫兰 I 分析证实,庆尚北道各地区之间存在空间自相关性。通过局部莫兰 I 和热点(Getis-Ord's Gi*)分析,得出了火灾误报频率较高和较低的地区。对该地区消防人员的开设和部署情况进行调查后发现,119 安全中心平均出动次数较多的地区需要增加消防人员的数量,119 安全中心集中的地区应准备向周边地区分散消防力量的措施。
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