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[1]陈振南,吴立志,夏登友,等.基于城市火灾风险的消防站分级覆盖选址模型——以济南市区为例[J].中国安全生产科学技术,2020,16(7):18-24.[doi:10.11731/j.issn.1673-193x.2020.07.003]
　CHEN Zhennan,WU Lizhi,XIA Dengyou,et al.Hierarchical coverage location model for fire station based on urban fire risk：a case study on urban area in Jinan[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2020,16(7):18-24.[doi:10.11731/j.issn.1673-193x.2020.07.003]
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基于城市火灾风险的消防站分级覆盖选址模型——以济南市区为例
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
16
期数:
2020年7期
页码:
18-24
栏目:
学术论著
出版日期:
2020-07-30

文章信息/Info

Title:
Hierarchical coverage location model for fire station based on urban fire risk：a case study on urban area in Jinan
文章编号:
1673-193X(2020)-07-0018-07
作者:
陈振南; 吴立志; 夏登友; 张鹏
(1.中国人民警察大学 研究生部，河北 廊坊 065000；
2.中国人民警察大学 救援指挥学院，河北 廊坊 065000；
3.中国人民警察大学 智慧警务学院，河北 廊坊 065000)
Author(s):
CHEN Zhennan;  WU Lizhi;  XIA Dengyou;  ZHANG Peng
(1.Department of Graduate,China People’s Police University,Langfang Hebei 065000,China;
2.Academy of Rescue Command,China People’s Police University,Langfang Hebei 065000,China;
3.Academy of Intelligent Police,China People’s Police University,Langfang Hebei 065000,China)
关键词:
消防站选址; 覆盖衰减; 分级覆盖; 遗传算法; 城市火灾风险
Keywords:
fire station location;  coverage attenuation;  hierarchical coverage;  genetic algorithm;  urban fire risk
分类号:
X913.4
DOI:
10.11731/j.issn.1673-193x.2020.07.003
文献标志码:
A
摘要:
为更科学规划消防站选址，实现有限资源下应急资源的合理配置，提高消防站联动效率，根据“不同火灾风险等级的需求点应得到主管消防站和不同数量增援消防站服务”的原则，提出1种消防站分级覆盖选址模型，同时使用覆盖衰减函数表示消防站对需求点的覆盖度；基于遗传算法设计消防站分级覆盖选址模型的求解流程；以济南市区为例，基于POI和火灾数据，使用核密度分析法进行城市火灾风险分级，进而对选址模型进行验证。结果表明：以覆盖火灾风险值为评价指标，分级覆盖选址模型的选址结果优于现状消防站、广义最大覆盖模型、P-中位模型和P-中心模型。
Abstract:
In order to scientifically plan the fire station location,realize the reasonable allocation of emergency resources under the limited resources,and improve the linkage efficiency of fire stations,according to the principle of "the demand points with different fire risk levels should obtain the service of main fire station and different numbers of reinforcement fire stations",a model of hierarchical coverage location for the fire stations was put forward,and the coverage attenuation function was used to represent the coverage degree of fire station to the demand points.The solving procedure of the model was designed based on the genetic algorithm.Taking the urban area of Jinan as an example,the classification of urban fire risk was conducted by using the kernel density analysis method based on the POI and fire data,thus the location model was verified.The results showed that taking the coverage value of fire risk as the evaluation index,the location results by using the model of hierarchical coverage location were better than those of the existing fire station,generalized maximal covering model,Pmedian model and Pcenter model.

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备注/Memo

备注/Memo:
收稿日期： 2020-04-01；网络首发日期： 2020-07-22
* 基金项目： 河北省自然科学基金项目(G2018507023，D2015507046）
作者简介： 陈振南，硕士研究生，主要研究方向为消防应急与指挥。
通信作者： 吴立志，博士，教授，主要研究方向为火灾风险评估、消防救援理论与技术。
更新日期/Last Update: 2020-08-06