弹性(材料科学)
计算机科学
独创性
模糊逻辑
过程(计算)
绩效指标
模糊集
社区复原力
环境资源管理
风险分析(工程)
地理
人工智能
业务
环境科学
社会学
定性研究
热力学
操作系统
物理
冗余(工程)
营销
社会科学
作者
Yijiang Zhao,Xiaodong Yang,Changhai Zhai,Wen Wang
出处
期刊:Engineering, Construction and Architectural Management
[Emerald (MCB UP)]
日期:2022-03-29
卷期号:30 (8): 3509-3538
被引量:2
标识
DOI:10.1108/ecam-09-2021-0806
摘要
Purpose The purpose of this paper is to investigate relationships of urban seismic resilience assessment indicators. Design/methodology/approach To achieve this aim, construction of the urban seismic resilience assessment indicators system was conducted and 20 indicators covering five dimensions, namely building and lifeline infrastructure, environment, society, economy and institution were identified. Following this, this study used evidence fusion theory and intuitionistic fuzzy sets to process the information from experts then developed the fuzzy total interpretive structure model. Findings A total of 20 urban seismic resilience assessment indicators are reconstructed into a hierarchical and visual system structure including five levels. Indicators in the bottom level including debris flow risk, landslide risk, earthquake experience and demographic characteristics are fundamental indicators that significantly impact other indicators. Indicators in the top level including open space, gas system and public security are direct indicators influenced more by other indicators. Other indicators are in middle levels. Results of MICMAC analysis visually categorize these indicators into independent indicators, linkage indicators, autonomous indicators and dependent indicators according to driving power and dependence. Originality/value This paper attempts to explore relationships of urban seismic resilience assessment indicators with the interpretive structural model method. Additionally, Fuzzy total interpretive structure model is developed combined with evidence fusion theory and intuitionistic fuzzy sets, which is the extension of total interpretive structure model. Research results can assist the analytic network process method in assessing urban seismic resilience in future research.
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