中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (1): 202-208.doi: 10.16265/j.cnki.issn1003-3033.2025.01.0442

• 应急技术与管理 • 上一篇    下一篇

基于多准则决策方法的乡村应急能力影响因素研究

李华(), 荆子昊**(), 吴立舟, 高子桐   

  1. 西安建筑科技大学 资源工程学院,陕西 西安 710055
  • 收稿日期:2024-08-22 修回日期:2024-10-25 出版日期:2025-01-28
  • 通信作者:
    **荆子昊(1997—),男,青海西宁人,硕士研究生,主要研究方向为安全韧性、公共安全与应急管理。E-mail:
  • 作者简介:

    李 华 (1979—),女,陕西西安人,博士,副教授,硕士生导师,主要从事企业风险评估与安全管理、建筑安全监测与监控、公共安全与应急管理等方面的研究。E-mail:

  • 基金资助:
    陕西省社科界重大理论与现实问题研究联合项目(2023HZ1473); 省级大学生创新创业训练计划项目(S202310703104); 2024年省级大学生创新创业训练计划项目

Study of factors influencing rural emergency response capacity based on multi-criteria decision-making method

LI Hua(), JING Zihao**(), WU Lizhou, GAO Zitong   

  1. School of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
  • Received:2024-08-22 Revised:2024-10-25 Published:2025-01-28

摘要:

为探究基层应急能力“最后一公里”问题,提出一种引入灰色理论的多准则决策方法(MCDM),基于韧性理论,科学分析常规和非常规状态下的乡村应急能力。首先,在韧性视角下,优选文献归纳与实地调研后得到的影响因素,构建乡村应急能力影响因素模型;其次,以MCDM模型为框架,剖析影响因素的因果关系、逻辑层次和特征状态;最后,通过多准则决策分析,识别乡村应急能力和乡村韧性提升的关键因素。结果表明: 领导队伍结构的中心度为2.95、驱动力为6,是第1层因素;乡村网格化管理的中心度为3.08、驱动力为6,是第2层因素;规范性文件制定的中心度为2.7、驱动力为5,是第3层因素,乡村网络建设的中心度为3.54、驱动力为9,是第3层因素。领导队伍结构、乡村网格化管理、规范性文件制定、乡村网络建设构成决策交集,是乡村应急能力和韧性提升的关键抓手。

关键词: 多准则决策方法(MCDM), 应急能力, 乡村, 韧性, 灰色理论

Abstract:

To explore the "last-mile" problem of grassroots emergency response capacity, a MCDM based on grey theory was proposed to analyze the rural emergency response capacity under conventional and unconventional states based on the resilience theory. Firstly, from the perspective of resilience, the influencing factors obtained from literature review and field investigation were selected and optimized to construct a model of the influencing factors of rural emergency response capacity. Secondly, the MCDM model was used as a framework to analyze the causality, logical hierarchy, and characteristic state of the influencing factors. Finally, the key factors for the enhancement of the rural emergency response capacity and the resilience of rural villages were identified through the multi-criteria decision-making analysis. The results show that the centrality of leadership team structure is 2.95 and the driving force is 6, which is a tier 1 factor. The centrality of village grid management is 3.08 and the driving force is 6, which is a tier 2 factor. The centrality of normative document development is 2.7 and the driving force is 5, which is a tier 3 factor. The centrality of village network construction is 3.54 and the driving force is 9, which is a tier 3 factor. Leadership team structure, village grid management, normative document development and village network building constitute decision-making intersections, which are key catch-alls for the improvement of village emergency response capacity and resilience.

Key words: multi-criteria decision-making (MCDM), emergency response capacity, rural, resilience, grey theory

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