Analysis of critical factors influencing sustainable infrastructure vulnerabilities using an ISM-MICMAC approach

PurposeThe purpose of this study is to develop a new hybrid method that combines interpretative structural modeling (ISM) and matrix cross-impact multiplication applied to classification (MICMAC) to investigate the influencing factors of sustainable infrastructure vulnerability (SIV).Design/methodol...

Full description

Saved in:
Bibliographic Details
Published in:Engineering, construction, and architectural management construction, and architectural management, 2024-09, Vol.31 (9), p.3622-3652
Main Authors: Zhao, Luwei, Wang, Qing’e, Hwang, Bon-Gang, Chang-Richards, Alice Yan
Format: Article
Language:English
Subjects:
Adaptation
Climate change
Construction
Cultural heritage
Design factors
Engineering
Environmental economics
Infrastructure
Literature reviews
Project management
Social responsibility
Sustainable development
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:PurposeThe purpose of this study is to develop a new hybrid method that combines interpretative structural modeling (ISM) and matrix cross-impact multiplication applied to classification (MICMAC) to investigate the influencing factors of sustainable infrastructure vulnerability (SIV).Design/methodology/approach(1) Literature review and case study were used to identify the possible influencing factors; (2) a semi-structured interview was conducted to identify representative factors and the interrelationships among influencing factors; (3) ISM was adopted to identify the hierarchical structure of factors; (4) MICMAC was used to analyze the driving power (DRP) and dependence power (DEP) of each factor and (5) Semi-structured interview was used to propose strategies for overcoming SIV.FindingsResults indicate that (1) 18 representative factors related to SIV were identified; (2) the relationship between these factors was divided into a five-layer hierarchical structure. The 18 representative factors were divided into driving factors, dependent factors, linkage factors and independent factors and (3) 12 strategies were presented to address the negative effects of these factors.Originality/valueThe findings illustrate the factors influencing SIV and their hierarchical structures, which can benefit the stakeholders and practitioners of an infrastructure project by encouraging them to take effective countermeasures to deal with related SIVs.
ISSN:0969-9988
1365-232X
DOI:10.1108/ECAM-07-2022-0690