基于灰关联的暴雨洪涝情景下智慧城市韧性评价指标识别研究  

Study of Resilience Evaluation Indicators Identification of Smart Cities under Heavy Rain and Flood Scenarios Based on Grey Correlation

作　　者：郑国乐 祝连波 ZHENG Guole;ZHU Lianbo(School of Civil Engineering,Suzhou University of Science and Technology)

机构地区：[1]苏州科技大学土木工程学院

出　　处：《上海节能》2025年第2期197-205,共9页Shanghai Energy Saving

基　　金：国家自然科学基金项目(72201188);江苏省住建厅项目(2018ZD165);苏州市科技计划(基础研究)项目(SJC2023002);苏州科技大学大学生创新创业项目(091811104,091991111)。

摘　　要：暴雨洪涝情境下,智慧城市韧性的研究对于减轻自然灾害的影响、保障城市的持续运作,以及提高居民的生活质量具有重要的意义。通过采用文献分析法,构建暴雨洪涝情境下智慧城市韧性评价指标,并基于技术—组织—社会—环境,Technology-Organization-Society-Environment框架进行指标分类,把指标分为技术、组织、社会、环境4个维度。为了确保所选取的指标科学性和代表性,采用灰色关联分析法对各项指标进行筛选,最后筛选出4个准则层的22个指标。论文的研究成果将为城市管理者和决策者提供量化的评估和参考,帮助指导具体的策略和措施,以提高智慧城市应对洪涝灾害的能力。Under heavy rain and flood scenarios,research on the resilience of smart cities is of great significance for reducing the impact of natural disasters,ensuring the sustainable operation of cities,and improving residents′life quality.By using literature analysis method,we build smart city resilience evaluation indicators under heavy rain and flood scenarios,and classify the indicators based on the Technology-Organization-Society-Environment framework,and divide the indicators into technology,organization,society,and environment.4 dimensions.In order to ensure the scientificity and representativeness of the selected indicators,gray correlation analysis method is used to screen each indicator,and finally 22 indicators in 4 criterion layers are screened out.The research results of the paper will provide quantitative assessment and reference for city managers and decision makers,and help guide specific strategies and measures to improve the ability of smart cities to respond to flood disasters.

关 键 词：暴雨洪涝 智慧城市 韧性评价 指标识别 

分 类 号：TU992[建筑科学—市政工程]