Abstract
Rapid development of the city makes it faces increasing challenges in controlling fire accidents. In order to improve the effectiveness in urban fire control, the distribution of urban fire risk should be identified accurately. Accordingly, a new method for urban fire risk assessment is proposed in this study. The method is based on the points of interest (POIs) data. The original POIs need to be sorted and reclassified because they are commonly repeatable and unreasonably classified. After reclassification, the weight of each category of the POIs in terms of fire risk is determined based on the historical fire accident data and experts' judgment. Then, the kernel density analysis (KDA) is conducted on all categories of the POIs by using ArcGIS software. After that, the distribution of the fire risk can be obtained and visualized based on the weights and KDA results of all categories of the POIs. Moreover, Zhongyuan District of Zhengzhou city is taken as an example to verify the effectiveness of the proposed method. The results indicate that the high fire risk areas are mainly located in southwest of the target district. Accordingly, specific measures are proposed to mitigate fire risks in the referred region.
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