Towards enhancement in reliability and safety of construction projects: developing a hybrid multi-dimensional fuzzy-based approach
Engineering, Construction and Architectural Management
ISSN: 0969-9988
Article publication date: 7 March 2022
Issue publication date: 7 June 2023
Abstract
Purpose
In the study, a five-dimensional-safety risk assessment model (5D-SRAM) is developed to improve the construction safety risk assessment approaches available in the literature. To that purpose, a hybrid multi-dimensional fuzzy-based model is proposed, which provides a comprehensive ranking system for the safety risks existing in a project by considering the contextualization of the construction-related activities resulting in an accident.
Design/methodology/approach
The developed 5D-SRAM is based on an amalgamation of different fuzzy-based techniques. Through the proposed fuzzy analytic hierarchy process (AHP) method, the importance weights of essential risk dimensions playing role in defining the magnitude of the construction-related risks are obtained, while a precise prioritized ranking system for the identified safety risks is acquired using the proposed fuzzy technique of order preference similarity to the ideal solution (FTOPSIS).
Findings
Through the application of the proposed 5D-SRAM to a real-life case study – which is the case of green building construction projects located in Hong Kong – contributions are realized as follows: (1) determination of a more complete range of risk dimensions, (2) calculation of importance weightings for each risk dimension and (3) obtainment of a precise and inclusive ranking system for safety risks. Additionally, the supremacy of the developed 5D-SRAM against the other safety assessment approaches that are commonly adopted in the construction industry is proved.
Research limitations/implications
The developed 5D-SRAM provides the concerned safety decision-makers with not only all the crucial dimensions that play roles toward the magnitude of safety risks posing threats to the workers involved in construction activities, but also they are given hindsight regarding the importance weights of these dimensions. Additionally, the concerned parties are embellished with the final ranking of safety risks in a more comprehensive way than those of existing assessment methods, leading to sagacious adoption of future prudent strategies for dealing with such risks occurring on construction sites.
Originality/value
Numerous studies have documented the safety risks faced by construction workers including proposals for risk assessment models. However, the dimensions considered by such models are limited, generally constrained to risk event probability combined with risk impact severity. Overlooking other dimensions that are essential towards the calculation of safety risks' magnitude culminates in overshadowing the further adoption of fruitful mitigative actions. To overcome this shortcoming, this study proposes a novel 5D-SRAM.
Keywords
Acknowledgements
This research is financially supported by the project entitled—Postdoc Matching Fund Scheme provided by the Hong Kong Polytechnic University, under the Project Number: 1-W15K.
Citation
Mohandes, S.R., Durdyev, S., Sadeghi, H., Mahdiyar, A., Hosseini, M.R., Banihashemi, S. and Martek, I. (2023), "Towards enhancement in reliability and safety of construction projects: developing a hybrid multi-dimensional fuzzy-based approach", Engineering, Construction and Architectural Management, Vol. 30 No. 6, pp. 2255-2279. https://doi.org/10.1108/ECAM-09-2021-0817
Publisher
:Emerald Publishing Limited
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