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Safety Hazard Identification on Construction Projects
Abstract
Hazard identification is fundamental to construction safety management; unidentified hazards present the most unmanageable risks. This paper presents an investigation indicating the current levels of hazard identification on three U.K. construction projects. A maximum of only 6.7% of the method statements analyzed on these projects managed to identify all of the hazards that should have been identified, based upon current knowledge. Maximum hazard identification levels were found to be 0.899 (89.9%) for a construction project within the nuclear industry, 0.728 (72.8%) for a project within the railway industry, and 0.665 (66.5%) for a project within both the railway and general construction industry sector. The results indicate that hazard identification levels are far from ideal. A discussion on the reasons for low hazard identification levels indicates key barriers. This leads to the presentation of an Information Technology (IT) tool for construction project safety management (Total-Safety) and, in particular, a module within Total-Safety designed to help construction personnel develop method statements with improved levels of hazard identification.
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Citations
Cited by
Visualization technology-based construction safety management: A review
Guo, H., Yu, Y., & Skitmore, M. (2017) · Automation in Construction · doi:10.1016/j.autcon.2016.10.004 · Cited by 363
Saka, A. B., Oyedele, L. O., Akanbi, L. A., Ganiyu, S. A., Chan, D. W. M., & Bello, S. A. (2023) · Advanced Engineering Informatics · doi:10.1016/j.aei.2022.101869 · Cited by 161
Leveraging ChatGPT to Aid Construction Hazard Recognition and Support Safety Education and Training
Uddin, S. M. J., Albert, A., Ovid, A., & Alsharef, A. (2023) · Sustainability · doi:10.3390/su15097121 · Cited by 158
A Review on Construction Safety: Hazards, Mitigation Strategies, and Impacted Sectors
Almaskati, D., Kermanshachi, S., Pamidimukkala, A., Loganathan, K., & Yin, Z. (2024) · Buildings · doi:10.3390/buildings14020526 · Cited by 81
Metadata
- Authors
- Carter, G., & Smith, S. D.
- Venue
- Journal of Construction Engineering and Management
- Published
- 2006-02
- Volume
- 132
- Issue
- 2
- Pages
- 197-205
- ISSN
- 0733-9364 (ISSN-L)
- 1943-7862
- DOI
- 10.1061/(asce)0733-9364(2006)132:2(197
- OpenAlex
- W2120197519
- Cited by
- 477
- References
- 0
- FWCI
- 14.97
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
