Wuni, I Y (2025) Developing a multidimensional risk assessment model for sustainable construction projects. Engineering, Construction and Architectural Management, 32(6), pp. 4155-4173. ISSN 0969-9988
Abstract
Purpose: Sustainable construction re-engineers the conventional project lifecycle to integrate sustainability solutions. The additional sustainability requirements introduce new layers of complexity, challenges and risks that if unaddressed, can derail the gains in sustainable construction projects. This study developed a multidimensional risk assessment model for sustainable construction projects in the United Arab Emirates (UAE). Design/methodology/approach: The research activities a comprised comprehensive literature review to shortlist relevant risks, an analysis of the probability – impact rating of the shortlisted risks – and the development of a risk assessment model for SC projects in the UAE. The model is developed based on the multicriteria framework and mathematical formulation of the fuzzy synthetic evaluation approach. Findings: The developed model quantified the overall risk level in sustainable construction projects to be 3.71 on a 5-point Likert scale, indicating that investment in SC projects in the UAE is risky and should be carefully managed. The developed model further revealed that each of the risk groups, comprising management (3.82), technical (3.78), stakeholder (3.68), regulatory (3.66), material (3.53) and economic risks (3.502), presents a significant threat to realizing outcomes typical of SC projects. Originality/value: This study developed a multidimensional risk assessment model capable of objectively quantifying the overall risk level and provides decision support to project teams to improve risk management in sustainable construction projects.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | artificial intelligence; fuzzy logic; fuzzy synthetic evaluation; green construction; risk assessment; sustainable construction |
| Index terms: | risk management, risk assessment, project team, artificial intelligence, fuzzy logic, engineer, project lifecycle, sustainable construction project, Likert scale, methodology, complexity, United Arab Emirates, sustainable construction, fuzzy synthetic evaluation, decision support, literature review |
| Subjects: | decision-making and optimization, research methods, financial risk, sustainable construction, Geography, project completion, decision analysis, systems engineering, project delivery, artificial intelligence, data science, data analysis and analytics, data collection methods, risk assessment, profession |
| Topics: | Engineering Principles, Geographical Context, Project Management, Sustainability, Risk Management, Digital Applications, Research Practice, Cost Management, Roles and Professions |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here