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Exploring relationships of urban seismic resilience assessment indicators with a fuzzy total interpretive structural model method

Yonggang Zhao (Harbin Institute of Technology Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin, China) (Harbin Institute of Technology Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin, China)
Xiaodong Yang (Harbin Institute of Technology Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin, China) (Harbin Institute of Technology Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin, China) (Harbin Institute of Technology School of Civil Engineering, Harbin, China)
Changhai Zhai (Harbin Institute of Technology Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin, China) (Harbin Institute of Technology Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin, China)
Weiping Wen (Harbin Institute of Technology Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin, China) (Harbin Institute of Technology Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin, China)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 29 March 2022

Issue publication date: 1 September 2023

446

Abstract

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.

Keywords

Acknowledgements

This investigation is supported by the National Natural Science Foundation of China (No. 51825801, U1939210, 71974047 and 52178469), Natural Science Foundation of Heilongjiang Province (No. LH2021E075, LH2019G006), China Postdoctoral Science Foundation (No. 2016M601430) and Heilongjiang Postdoctoral Science Foundation (No. LBH-Z16085). These supports are greatly appreciated. The authors also gratefully appreciate editors and reviewers for their efforts of this paper.

Citation

Zhao, Y., Yang, X., Zhai, C. and Wen, W. (2023), "Exploring relationships of urban seismic resilience assessment indicators with a fuzzy total interpretive structural model method", Engineering, Construction and Architectural Management, Vol. 30 No. 8, pp. 3509-3538. https://doi.org/10.1108/ECAM-09-2021-0806

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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