Safety leading indicators for construction sites: A machine learning approach
CQX Poh, CU Ubeynarayana, YM Goh - Automation in construction, 2018 - Elsevier
The construction industry is one of the most dangerous industries in many countries. To
improve the situation, senior managers overseeing portfolios of construction projects need to …
improve the situation, senior managers overseeing portfolios of construction projects need to …
Construction safety management in the data-rich era: A hybrid review based upon three perspectives of nature of dataset, machine learning approach, and research …
Although substantial progress in safety management performance has been made in the
construction industry, continuing fatalities and injuries at workplaces hinder sustainable …
construction industry, continuing fatalities and injuries at workplaces hinder sustainable …
Developing a risk assessment model for construction safety
Problems on occupational health and safety are commonly occurred in the construction
industry, including falling of materials or person from height, stepping on objects and injured …
industry, including falling of materials or person from height, stepping on objects and injured …
[HTML][HTML] Enhancing construction safety: Machine learning-based classification of injury types
The construction industry is a hazardous industry with significant injuries and fatalities. Few
studies have used data-driven analysis to investigate injuries due to construction accidents …
studies have used data-driven analysis to investigate injuries due to construction accidents …
Accident analysis for construction safety using latent class clustering and artificial neural networks
BU Ayhan, OB Tokdemir - Journal of Construction Engineering and …, 2020 - ascelibrary.org
Despite many improvements in safety management, the construction industry still has the
highest potential for occupational injuries including High Severe (HS) work events, which …
highest potential for occupational injuries including High Severe (HS) work events, which …
A risk assessment approach for enhancing construction safety performance
The construction industry is one of the most dangerous industries worldwide due to deadly
fatalities and accidents recorded yearly. Though many countries have established and …
fatalities and accidents recorded yearly. Though many countries have established and …
Application of machine learning techniques for predicting the consequences of construction accidents in China
R Zhu, X Hu, J Hou, X Li - Process Safety and Environmental Protection, 2021 - Elsevier
Construction accidents can easily cause massive casualties and property losses. This
research uses machine learning technique to analyze 16 critical factors and assess the …
research uses machine learning technique to analyze 16 critical factors and assess the …
Scenario-based automated data preprocessing to predict severity of construction accidents
Occupational accidents are common in the construction industry, therefore developing
prediction models to detect high severe accidents would be useful. However, existing …
prediction models to detect high severe accidents would be useful. However, existing …
Predictive validity of safety leading indicators: Empirical assessment in the oil and gas sector
R Salas, M Hallowell - Journal of construction engineering and …, 2016 - ascelibrary.org
Improving safety performance is paramount to the success of oil and gas construction
projects. Although considerable attention has been paid to developing and using new types …
projects. Although considerable attention has been paid to developing and using new types …
Machine learning predictive model based on national data for fatal accidents of construction workers
The purpose of this study is to develop a prediction model that identifies the potential risk of
fatality accidents at construction sites using machine learning based on industrial accident …
fatality accidents at construction sites using machine learning based on industrial accident …