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Random Forest Analysis of Occupational Accident Reports among Roofing Contractors
One of the trades most susceptible to occupational hazards in the construction industry is roofing contractors, whose projects inherently involve exposure to falls from height. In response, this study used a random forest data mining technique to analyze the impacts of accidents’ contributing factors on roofers’ injuries. The analysis examined over 600 incidents obtained from the Occupational Safety and Health Administration’s (OSHA’s) database of fatal and nonfatal accident reports. Some of the contributing factors considered include source of injury, cause of injury, project cost, project end use, project type, injured body part, and day of injury. The results of validated random forest model revealed that the most important factor for predicting the nature of injury is injured body part followed by source of injury. The presented results can be used by managers, policymakers, and safety professionals to reduce the frequency and severity of incidents.
Random Forest Analysis of Occupational Accident Reports among Roofing Contractors
One of the trades most susceptible to occupational hazards in the construction industry is roofing contractors, whose projects inherently involve exposure to falls from height. In response, this study used a random forest data mining technique to analyze the impacts of accidents’ contributing factors on roofers’ injuries. The analysis examined over 600 incidents obtained from the Occupational Safety and Health Administration’s (OSHA’s) database of fatal and nonfatal accident reports. Some of the contributing factors considered include source of injury, cause of injury, project cost, project end use, project type, injured body part, and day of injury. The results of validated random forest model revealed that the most important factor for predicting the nature of injury is injured body part followed by source of injury. The presented results can be used by managers, policymakers, and safety professionals to reduce the frequency and severity of incidents.
Random Forest Analysis of Occupational Accident Reports among Roofing Contractors
Onuchukwu, Ikechukwu S. (author) / Esmaeili, Behzad (author)
Construction Research Congress 2022 ; 2022 ; Arlington, Virginia
Construction Research Congress 2022 ; 561-570
2022-03-07
Conference paper
Electronic Resource
English
Nature of Occupational Incidents among Roofing Contractors: A Data Mining Approach
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