中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (1): 172-179.doi: 10.16265/j.cnki.issn1003-3033.2022.01.023

• 应急技术与管理 • 上一篇    下一篇

考虑区域灾情分级的应急物资公平调度优化模型

宋英华1,2(), 白明轩1,2,3, 马亚萍1,2,**(), 吕伟1,2, 霍非舟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
    3中国消防救援学院 消防工程系,北京 102202
  • 收稿日期:2021-10-25 修回日期:2021-12-14 出版日期:2022-01-28 发布日期:2022-07-28
  • 通讯作者: 马亚萍
  • 作者简介:

    宋英华(1962—),男,湖北武汉人,博士,教授,博士生导师,主要从事科研管理、应急管理、项目管理等方面的研究。E-mail:
    宋英华 教授,马亚萍 讲师,吕伟 副教授,霍非舟 副教授

  • 基金资助:
    国家自然科学基金资助(91646201); 国家自然科学基金资助(U1633203); 中央高校基本科研业务费资助(205261003); 武汉理工大学自主创新基金项目(2019IVA011); 武汉理工大学自主创新基金项目(2020VI002)

Optimal model for fair dispatch of emergency materials considering regional disaster classification

SONG Yinghua1,2(), BAI Mingxuan1,2,3, MA Yaping1,2,**(), LYU Wei1,2, HUO Feizhou1,2   

  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
    3Department of Fire Engineering, China Fire and Rescue Institute, Beijing 102202, China
  • Received:2021-10-25 Revised:2021-12-14 Online:2022-01-28 Published:2022-07-28
  • Contact: MA Yaping

摘要:

为解决不同受灾点应急物资公平调度的问题,受分区分级精准防控思想的启发,考虑同级间各灾点应急物资最小未满意度为基准设计公平性衡量指标,以最小化调度时间和最大化应急物资分配公平性为目标,构建一种新的考虑差异化灾情分级的应急物资公平调度优化模型,运用遗传算法求解模型,以新冠疫情重灾区湖北省作为案例仿真模拟。结果表明:该模型可有效解决物资紧缺情况下不同灾情受灾点的物资公平调度问题,在保证重灾区应急物资调度的优先性和重点性的同时兼顾各级受灾点的应急物资调度的公平性。

关键词: 灾情分级, 应急物资调度, 公平性, 效率, 优化模型, 突发事件

Abstract:

In order to achieve fair dispatch of emergency materials at different disaster sites, inspired by the idea of accurate prevention and control in different regions and grades, a new fair scheduling model considering differentiated disaster classification was constructed with the aim of minimizing scheduling time and maximizing fairness of emergency materials distribution considering the minimum dissatisfaction of emergency materials at each disaster site at the same level as a benchmark to design fairness measurement index. Then, the model was solved by genetic algorithm, and simulation was conducted for the case of Hubei Province, the worst-hit area of the COVID-19 epidemic. The results show that this model can effectively solve the problem of fair material dispatch in differentiated disaster situations under the condition of material shortage. and while ensuring priority and focus of emergency materials distribution in worst-hit areas, it also takes into account the fairness of material dispatch at all levels of disaster areas.

Key words: disaster classification, emergency material dispatch, fairness, effectiveness, optimal model, emergency