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Towards enhancement in reliability and safety of construction projects: developing a hybrid multi-dimensional fuzzy-based approach

Saeed Reza Mohandes (Department of Building and Real Estate (BRE), Faculty of Construction and Environment (FCE), The Hong Kong Polytechnic University, Kowloon, Hong Kong)
Serdar Durdyev (Department of Engineering and Architectural Studies, Ara Institute of Canterbury, Christchurch, New Zealand)
Haleh Sadeghi (Department of Building and Real Estate (BRE), Faculty of Construction and Environment (FCE), The Hong Kong Polytechnic University, Kowloon, Hong Kong)
Amir Mahdiyar (School of Housing, Building and Planning, Universiti Sains Malaysia, Penang, Malaysia)
M. Reza Hosseini (School of Architecture and Built Environment, Deakin University, Geelong, Australia)
Saeed Banihashemi (School of Design and Built Environment, University of Canberra, Canberra, Australia)
Igor Martek (School of Architecture and Built Environment, Deakin University, Geelong, Australia)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 7 March 2022

Issue publication date: 7 June 2023

460

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

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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