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Predicting types of occupational accidents at construction sites in Korea using random forest model

16 references·14 citing·43 second hopsampled

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References

2003Identifying elements of poor construction safety management in China619 cited
2018Applying a random forest method approach to model travel mode choice behavior519 cited
2016Application of machine learning to construction injury prediction376 cited
2018Factors influencing safety performance on construction projects: A review350 cited
2018Safety leading indicators for construction sites: A machine learning approach314 cited
2010Characteristic analysis of occupational accidents at small construction enterprises255 cited
2018Fatal accident patterns of building construction activities in China224 cited
2014Decision tree analysis of construction fall accidents involving roofers173 cited
2018Accident types and barrier failures in the construction industry154 cited
1985Climatic Effects on Construction148 cited
2018Factors influencing unsafe behaviors: A supervised learning approach132 cited
2011Diffusion of Safety Innovations in the Construction Industry117 cited
2016Association of Root Causes in Fatal Fall-from-Height Construction Accidents in Hong Kong114 cited
2016Random forests-based early warning system for bank failures95 cited
2018Improving crime count forecasts using Twitter and taxi data

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93 cited

2018Applying a nonparametric random forest algorithm to assess the credit risk of the energy industry in China73 cited

Cited by

2021Causal factors and risk assessment of fall accidents in the U.S. construction industry: A comprehensive data analysis (2000–2020)159 cited
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2022Predicting fatal fall from heights accidents using random forest classification machine learning model134 cited
2021Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers110 cited
2023Enhancing construction safety: Machine learning-based classification of injury types109 cited
2021Accident prediction in construction using hybrid wavelet-machine learning105 cited
2021ANALYSIS OF STOCHASTIC PROCESS TO MODEL SAFETY RISK IN CONSTRUCTION INDUSTRY101 cited
2021Exploring the acceptance of PPE by construction workers: An extension of the technology acceptance model with safety management practices and safety consciousness96 cited
2023Application of machine learning technology for occupational accident severity prediction in the case of construction collapse accidents95 cited
2022Scenario-based automated data preprocessing to predict severity of construction accidents89 cited
2023Risk factors and emerging technologies for preventing falls from heights at construction sites79 cited
2023Machine learning-based construction site dynamic risk models68 cited
2025Artificial Intelligence in Manufacturing Industry Worker Safety: A New Paradigm for Hazard Prevention and Mitigation68 cited
2022Prediction of construction accident outcomes based on an imbalanced dataset through integrated resampling techniques and machine learning methods62 cited