融合多源时空数据背景下的城市火灾危险性评估研究  

Urban Fire Risk Evaluation Based on Multi-source Spatio-temporal Data

作　　者：陈跃毅 CHEN Yueyi(School of Earth and Space Sciences,Peking University,Beijing 100871,China)

机构地区：[1]北京大学地球与空间科学学院,北京100871

出　　处：《地理空间信息》2023年第11期63-67,共5页Geospatial Information

基　　金：国家重点研发计划资助项目(2018YFB0505500、2018YFB0505504)。

摘　　要：通过选取城市火灾风险评价对象,展开针对性调研,在大数据分析思想的指引下,将相互关系作为因果关系,并通过多源数据分析对评价指数权重、得分进行率定,从而获取了福州市城区的火灾风险时空分布图。首先通过高德地图API对火灾事故历史出警数据进行地址分析,得到福州市区历史火灾事故的分布情况;再结合城市用地结构、土地使用特征、居民生活火力图等多源异构资料,探讨其与城市火灾空间划分的关联;最后以福州地区为例,建立具备完整数学基础的火灾风险评价体系和火灾风险动态评价方法,为城市消防规划管理提供基础数据。In this paper,we selected urban fire risk evaluation objects to carry out targeted research.Under the guidance of big data analysis ideas,taking the relationship as causality,we calibrated the evaluation index weight and score through multi-source data analysis,so as to obtain the spatio-temporal distribution map of fire risk in Fuzhou City.Firstly,we proceeded the address analysis of historical alarm data of fire acci-dents through the Gaode map API,and obtained the distribution of historical fire accidents in Fuzhou urban area.Then,combining with the multi-source heterogeneous data such as urban land-use structure,land-use characteristic,residents’living fire map,we discussed its relationship with the spatial division of urban fire accidents.Finally,taking Fuzhou for example,we established a fire risk evaluation system with a complete mathematical foundation and a dynamic fire risk evaluation method,which could provide the basic data for urban fire planning management.

关 键 词：融合 多源时空数据 多元线性回归 火灾危险性评估 

分 类 号：P208[天文地球—地图制图学与地理信息工程]