中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (3): 183-193.doi: 10.16265/j.cnki.issn1003-3033.2022.03.025

• 公共安全 • 上一篇    下一篇

考虑需求等级与距离损失联动消防站选址研究

霍非舟1,2(), 董格力1,2, 李墨潇1,2,**(), 梅依云1,2   

  1. 1武汉理工大学 中国应急管理研究中心,湖北 武汉 430070
    2武汉理工大学 安全科学与应急管理学院,湖北 武汉 430070
  • 收稿日期:2021-12-24 修回日期:2022-02-11 出版日期:2022-08-23 发布日期:2022-09-28
  • 通讯作者: 李墨潇
  • 作者简介:

    霍非舟 (1987—),河南周口人,博士,副教授,硕士生导师,主要从事公共安全与应急管理、风险评估等方面的研究。E-mail:
    霍非舟 副教授, 李墨潇 讲师,

  • 基金资助:
    国家自然科学基金资助(51808422); 中央高校基本科研业务费专项资金资助(2019IVB005); 中央高校基本科研业务费专项资金资助(2020VI002)

Study on location selection of linkage fire stations based on demand level and distance loss

HUO Feizhou1,2(), DONG Geli1,2, LI Moxiao1,2,**(), MEI Yiyun1,2   

  1. 1China Research Center for Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China
    2School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan Hubei 430070, China
  • Received:2021-12-24 Revised:2022-02-11 Online:2022-08-23 Published:2022-09-28
  • Contact: LI Moxiao

摘要:

为提高城市火灾抗性,基于城市发展现状进行消防站布局是提高城市消防效率与优化消防资源配置的有效手段。通过人口密度与高危火灾潜势单位分布状况评估地区火灾潜势大小,运用ArcGIS模拟火灾潜势分布状况并进行分级;针对消防站响应距离对火灾损失的影响,建立一种基于需求等级与距离损失的联动消防站选址优化模型,通过多目标优化算法NSGA-Ⅱ迭代求解模型;以襄阳市襄州区、襄城区、樊城区为例,与现役消防站布局以及考虑单一要素选址布局进行对比分析。结果表明:选址优化模型综合考虑需求等级与距离损失2种因素,根据实际需求对高危单位实施多级覆盖,选址结果优于考虑单一要素选址优化模型,对消防资源利用更加合理。

关键词: 需求等级, 距离损失, 消防站选址, 火灾潜势, 多级覆盖

Abstract:

In order to improve urban fire resistance, designing fire stations based on urban development status could be an effective means to improve firefighting efficiency and optimize allocation of resources. Firstly, regional fire potential was assessed based on population density and distribution of high-risk fire potential units, and ArcGIS was adopted to simulate distribution of fire potential and classify it. Then, with influence of fire station response distance on fire loss being taken into consideration, an optimized model of linkage fire station location selection based on demand grade and distance loss was established, and multi-objective optimization algorithm NSGA-Ⅱ was used to solve it iteratively. Finally, with Xiangzhou district, Xiangcheng district and Fancheng district of Xiangyang as examples, the model was compared with layout of fire stations in active service and that of site selection considering single factor. The results show that the optimization model comprehensively considers both factors of demand level and distance loss, and implements multi-level coverage for high-risk units according to the actual demand. As a results, it features a better location than that considering a single factor, and it proves to be more reasonable in fire resources' utilization.

Key words: demand level, distance loss, location of fire station, fire potential, multilevel coverage