Back to Search Start Over

A comprehensive risk assessment model based on a fuzzy synthetic evaluation approach for green building projects: the case of Vietnam.

Authors :
Nguyen, Hung Duy
Macchion, Laura
Source :
Engineering Construction & Architectural Management (09699988); 2023, Vol. 30 Issue 7, p2837-2861, 25p
Publication Year :
2023

Abstract

Purpose: Risks in implementing green building (GB) projects have emerged as a significant obstacle for GB development, especially in developing countries. In recent years, both academics and construction practitioners have paid considerable attention to the risks associated with GB. In this study, the authors aimed to create a comprehensive risk assessment model that considers three crucial risk features: impact level, probability of occurrence and risk manageability. Design/methodology/approach: In the research, authors adopted the mean scoring and fuzzy synthetic evaluation method to assess GB risks. Based on expert assessments, this model can determine the significance of risk factors, risk groups and overall risk. Notably, this research applied the proposed model to assess GB risks in Vietnam by surveying 58 GB experienced professionals. Findings: The findings revealed that GB risks are relatively high in Vietnam, implying that risk management is essential for GB projects to succeed. The results also showed that "lack of experience of GB designers" is the most critical factor, and "human resources risk in the design phase" is the top crucial risk group. Originality/value: This study contributes a novel and practical model to help practitioners assess risks in GB projects. In addition, this research offers detailed GB risk evaluations in Vietnam and thus could be a valuable reference for construction practitioners and future studies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09699988
Volume :
30
Issue :
7
Database :
Complementary Index
Journal :
Engineering Construction & Architectural Management (09699988)
Publication Type :
Academic Journal
Accession number :
169953340
Full Text :
https://doi.org/10.1108/ECAM-09-2021-0824