Hazard Recognition Patterns Demonstrated by Construction Workers

Simple item page
dc.contributor.authorUddin, S. M. Jamil
dc.contributor.authorAlbert, Alex
dc.contributor.authorAlsharef, Abdullah
dc.contributor.authorPandit, Bhavana
dc.contributor.authorPatil, Yashwardhan
dc.contributor.authorNnaji, Chukwuma
dc.contributor.otherNorth Carolina State University
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2023-09-28T19:35:52Z
dc.date.available2023-09-28T19:35:52Z
dc.date.issued2020
dc.description.abstractConstruction workers fail to recognize a large number of safety hazards. These unrecognized safety hazards can lead to unintended hazard exposure and tragic safety incidents. Unfortunately, traditional hazard recognition interventions (e.g., job hazard analyses and safety training) have been unable to tackle the industry-wide problem of poor hazard recognition levels. In fact, emerging evidence has demonstrated that traditional hazard recognition interventions have been designed without a proper understanding of the challenges workers experience during hazard recognition efforts. Interventions and industry-wide efforts designed based on a more thorough understanding of these challenges can yield substantial benefits-including superior hazard recognition levels and lower injury rates. Towards achieving this goal, the current investigation focused on identifying hazard categories that workers are more proficient in recognizing and others that they are less proficient in recognizing (i.e., hazard recognition patterns). For the purpose of the current study, hazards were classified on the basis of the energy source per Haddon's energy release theory (e.g., gravity, motion, electrical, chemical, etc.). As part of the study, 287 workers representing 57 construction workplaces in the United States were engaged in a hazard recognition activity. Apart from confirming previous research findings that workers fail to recognize a disproportionate number of safety hazards, the results demonstrate that the workers are more proficient in recognizing certain hazard types. More specifically, the workers on average recognized roughly 47% of the safety hazards in the gravity, electrical, motion, and temperature hazard categories while only recognizing less than 10% of the hazards in the pressure, chemical, and radiation hazard categories. These findings can inform the development of more robust interventions and industry-wide initiatives to tackle the issue of poor hazard recognition levels in the construction industry.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationUddin, S. M. J., Albert, A., Alsharef, A., Pandit, B., Patil, Y., & Nnaji, C. (2020). Hazard Recognition Patterns Demonstrated by Construction Workers. In International Journal of Environmental Research and Public Health (Vol. 17, Issue 21, p. 7788). MDPI AG. https://doi.org/10.3390/ijerph17217788
dc.identifier.doi10.3390/ijerph17217788
dc.identifier.orcidhttps://orcid.org/0000-0002-9885-9504
dc.identifier.orcidhttps://orcid.org/0000-0002-3725-4376
dc.identifier.orcidhttps://orcid.org/0000-0002-6829-1487
dc.identifier.urihttps://ir.ua.edu/handle/123456789/11536
dc.languageEnglish
dc.language.isoen_US
dc.publisherMDPI
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectconstruction safety
dc.subjecthazard recognition
dc.subjectoccupational safety
dc.subjectworker safety
dc.subjecthazard recognition pattern
dc.subjectconstruction hazards
dc.subjectsafety risks
dc.subjectSAFETY
dc.subjectHEALTH
dc.subjectIDENTIFICATION
dc.subjectIMPACT
dc.subjectEnvironmental Sciences
dc.subjectPublic, Environmental & Occupational Health
dc.titleHazard Recognition Patterns Demonstrated by Construction Workersen_US
dc.typeArticle
dc.typetext
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
PMC7663096-ijerph-17-07788.pdf
Size:
944.87 KB
Format:
Adobe Portable Document Format
Download
Collections
Research and Publications - Department of Human Environmental Sciences, General