Construction Research Congress 2020
Work-Related Fatalities Analysis through Energy Source Recognition
Publication: Construction Research Congress 2020: Safety, Workforce, and Education
ABSTRACT
Identification of hazards is the first step in accidents prevention. As hazards can be caused by different energy sources, the awareness of all the energy sources is key to identifying potential hazards and creating a safe environment. Accidents result from the interaction of energy, equipment, or materials, and one or more people, and the potential hazards associated with such interaction can be identified based on the energy sources recognition. A lack of understanding of the presence and magnitude of an energy source often results in an accident. As a result, it is important to identify highly innovative and effective hazard recognition strategies such as implementing techniques to avoid future accidents. This study analyzes fatalities and catastrophes data inspected by federal or state OSHA in the past 5 years. Modern machine learning techniques are deployed to power this study: 1) text mining for hazard report extraction and 2) multidimensional visualization for geospatial analysis. The outcome can assist personnel involved in high-risk activities to identify and control the potential hazards unique to each activity and job. As a result, energy sources posing dangers would be effectively managed and eliminated.
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Information & Authors
Information
Published In
Construction Research Congress 2020: Safety, Workforce, and Education
Pages: 279 - 288
Editors: Mounir El Asmar, Ph.D., Arizona State University, David Grau, Ph.D., Arizona State University, and Pingbo Tang, Ph.D., Arizona State University
ISBN (Online): 978-0-7844-8287-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Nov 9, 2020
Published in print: Nov 9, 2020
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