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Modification of HFACS model for path identification of causal factors of collapse accidents in the construction industry

Haonan Qi (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Zhipeng Zhou (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Javier Irizarry (School of Building Construction, Georgia Institute of Technology, Atlanta, Georgia, USA)
Xiaopeng Deng (School of Civil Engineering, Southeast University, Nanjing, China)
Yifan Yang (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Nan Li (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Jianliang Zhou (Department of Construction Management, China University of Mining and Technology – Xuzhou Campus, Xuzhou, China)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 7 May 2024

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Abstract

Purpose

This study aims to modify the human factors analysis and classification system (HFACS) to make it suitable for collapse accident analysis in construction. Based upon the modified HFACS, distribution patterns of causal factors across multiple levels were discerned among causal factors of various stakeholders at construction sites. It explored the correlations between two causal factors from different levels and further determined causation paths from two perspectives of level and stakeholder.

Design/methodology/approach

The main research framework consisted of data collection, coding and analysis. Collapse accident reports were collected with adequate causation information. The modified HFACS was utilized for coding causal factors across all five levels in each case. A hybrid approach with two perspectives of level and stakeholder was proposed for frequency analysis, correlation analysis and path identification between causal factors.

Findings

Eight causal factors from external organizations at the fifth level were added to the original HFACS. Level-based correlation analyses and path identification provided safety managers with a holistic view of inter-connected causal factors across five levels. Stakeholder-based correlation analyses between causal factors from the fifth level and its non-adjacent levels were implemented based on client, government and third parties. These identified paths were useful for different stakeholders to develop specific safety plans for avoiding construction collapse accidents.

Originality/value

This paper fulfils an identified need to modify and utilize the HFACS model for correlation analysis and path identification of causal factors resulting in collapse accidents, which can provide opportunities for tailoring preventive and protective measures at construction sites.

Keywords

Acknowledgements

This study is funded by the National Natural Science Foundation of China (NSFC) (No. 72271122 and 71871116). The anonymous reviewers and editors of this study are also acknowledged for their constructive comments and suggestions.

Citation

Qi, H., Zhou, Z., Irizarry, J., Deng, X., Yang, Y., Li, N. and Zhou, J. (2024), "Modification of HFACS model for path identification of causal factors of collapse accidents in the construction industry", Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-02-2023-0101

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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