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运用层次分析法分析地方政府的灾害准备能力:以郑州 7·20 暴雨灾害为例。

Analyzing the Disaster Preparedness Capability of Local Government Using AHP: Zhengzhou 7.20 Rainstorm Disaster.

机构信息

Department of Public Administration & National Crisisonomy Institute, Chungbuk National University, Cheongju 28644, Republic of Korea.

出版信息

Int J Environ Res Public Health. 2023 Jan 4;20(2):952. doi: 10.3390/ijerph20020952.


DOI:10.3390/ijerph20020952
PMID:36673708
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9859418/
Abstract

This study aimed to identify factors influencing disaster preparedness capability, measure and compare the relative importance of evaluation indicators of preparedness capability in a rainstorm disaster, and analyze the impact of these factors on disaster preparedness so as to improve disaster preparedness capability. The evaluation model was proposed by constructing the target level (the first level) as an indicator system; this was divided into four indicators (the second level): planning, organization, equipment, and education and exercise, and 14 tertiary evaluation indicators (the third level). The validity of the evaluation index system was demonstrated, and the weight of each level was calculated using the Analytic Hierarchical Process and expert survey methods, taking the example of the Zhengzhou "7.20" rainstorm to conduct an empirical analysis of the proposed model. The weak points of disaster preparedness capability were identified. The empirical analysis revealed that organization scored the highest, followed by planning, equipment, and education and exercise, indicating the lack of disaster management equipment and resources, disaster management training, and exercise and public emergency safety education. These results will help in future decision-making, as they provide a clear understanding of what needs to be done to improve disaster preparedness capability.

摘要

本研究旨在确定影响灾害准备能力的因素,衡量和比较暴雨灾害准备能力评价指标的相对重要性,并分析这些因素对灾害准备的影响,以提高灾害准备能力。该评价模型通过构建目标层(一级)作为指标体系,将其分为规划、组织、设备和教育与演练四个指标(二级),以及 14 个三级评价指标。采用层次分析法和专家调查法对评价指标体系的有效性进行了验证,并计算了各层次的权重,以郑州“7.20”暴雨为例对所提出的模型进行了实证分析,识别了灾害准备能力的薄弱环节。实证分析表明,组织得分最高,其次是规划、设备和教育与演练,这表明缺乏灾害管理设备和资源、灾害管理培训以及公众应急安全教育。这些结果将有助于未来的决策,因为它们清楚地表明需要做些什么来提高灾害准备能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e5/9859418/e063cf4a7bbd/ijerph-20-00952-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e5/9859418/fb71bb73b6d3/ijerph-20-00952-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e5/9859418/da7e4369486b/ijerph-20-00952-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e5/9859418/292721830d88/ijerph-20-00952-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e5/9859418/ba6ff2c9c9fc/ijerph-20-00952-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e5/9859418/e063cf4a7bbd/ijerph-20-00952-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e5/9859418/fb71bb73b6d3/ijerph-20-00952-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e5/9859418/da7e4369486b/ijerph-20-00952-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e5/9859418/292721830d88/ijerph-20-00952-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e5/9859418/ba6ff2c9c9fc/ijerph-20-00952-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e5/9859418/e063cf4a7bbd/ijerph-20-00952-g005.jpg

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引用本文的文献

[1]
Soft cluster-rectangle method for eliciting criteria weights in multi-criteria decision-making.

Sci Rep. 2025-1-2

[2]
Assessment of disaster preparedness and related impact factors among emergency nurses in tertiary hospitals: descriptive cross-sectional study from Henan Province of China.

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[3]
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本文引用的文献

[1]
Risk Awareness and Impediments to Disaster Preparedness of Foreign Residents in the Tokyo Metropolitan Area, Japan.

Int J Environ Res Public Health. 2022-9-12

[2]
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Nat Hazards (Dordr). 2021

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Disaster Med Public Health Prep. 2012-10

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J Community Health. 2012-6

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Am J Community Psychol. 2008-3

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Disasters. 2006-3

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