The ability to process large amounts of data and to extract useful insights from data has
revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide …

The present study reviews the publications that examine the application of machine learning
(ML) approaches in occupational accident analysis. The review process includes four …

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 …

Workplace accidents in construction commonly cause fatal injury and fatality, resulting in
economic loss and negative social impact. Analysing accident description reports helps …

This study used a qualitative approach to explore the attitudes and experiences of
construction workers towards the use of personal protective equipment (PPE) and examine …

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 …

Fatal accidents occur frequently in building construction activities due to inherently
hazardous nature. This paper aims to explore the fatal accident patterns in China's building …

Objective. Construction is a hazardous occupation due to the unique nature of activities
involved and the repetitiveness of several field behaviors. The aim of this methodological …

In many countries, it is common practice to attract and employ ethnic minority (EM) or
migrant workers in the construction industry. This primarily occurs in order to alleviate the …

Although the utility of the machine learning (ML) techniques is established in occupational
accident domain using reactive data, its exploration in predicting injury severity using both …