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Safety leading indicators for construction sites: A machine learning approach · Study

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ArticleSafety leading indicators for construction sites: A machine learning approach

Clive Q.X. Poh2018

Article2018

Safety leading indicators for construction sites: A machine learning approach

Clive Q.X. Poh · Chalani Udhyami Ubeynarayana · Yang Miang Goh

300 citations·0/0 files stored·Automation in Construction

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Occupational Health and Safety Research Construction Project Management and Performance Occupational Health and Safety Management

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References

1977The Measurement of Observer Agreement for Categorical Data 1960A Coefficient of Agreement for Nominal Scales 2016Managing the Risks of Organizational Accidents 2010Thirty years of safety climate research: Reflections and future directions 2014Overview and analysis of safety management studies in the construction industry 2008Transformational leadership and group interaction as climate antecedents: A social network analysis.2016Application of machine learning to construction injury prediction 2017100 years of occupational safety research: From basic protections and work analysis to a multilevel view of workplace safety and risk.

Cited by

2019Predicting types of occupational accidents at construction sites in Korea using random forest model 2020Text mining-based construction site accident classification using hybrid supervised machine learning 2020Application of machine learning techniques for predicting the consequences of construction accidents in China 2020Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data

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Details

Year2018

Typearticle

Published2018-04-05

VenueAutomation in Construction

ISSN-L0926-5805

Languageen

Citations300

Files0 public / 0

ShelfOccupational Health and Safety Research

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doi10.1016/j.autcon.2018.03.022

openalex_workW2796105695

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