Abstract
Hidden fire risk are important disaster-inducing factors for potential fire accidents, which provides a breakthrough point for early intervention and prevention of potential fire accidents. Unsafe setting of electric wires is a very dangerous type of hidden fire risk that could cause fire accidents. It is of great significance to analyze the distribution pattern of hidden fire risk and related factors of this type of hidden fire hazard for early intervention. However, few researches have been done in the field of hidden fire risk. In this study, two network K-function methods, the univariate network K-function method and the bivariate network K-function method, were applied to analyze spatial patterns and its related factors of unsafe setting of electric wires as a hidden fire risk. The research data came from daily inspection in urban grid management of Guangming district, Shenzhen. The results indicated that the spatial distribution of unsafe setting of electric wires is highly related to the transportation network in the study area. The distribution pattern is influenced by the distribution of residential quarters and office buildings. The methods in this study can also be used to analyze other types of hidden fire hazards.
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