In the construction industry under “Industry 4.0”, Natural Language Processing (NLP) has
been widely used to process and analyze text data to achieve construction intelligence …

Deep learning has been acknowledged as being robust in managing and controlling the
performance of construction safety. However, there is an absence of state-of-the-art review …

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

Hazards potentially affect the safety of people on construction sites include falls from heights
(FFH), trench and scaffold collapse, electric shock and arc flash/arc blast, and failure to use …

Field compliance checking aims to check the compliance of site operations with applicable
construction safety regulations for detecting violations. Relation extraction provides an …

Computer vision has been utilized to extract safety-related information from images with the
advancement of video monitoring systems and deep learning algorithms. However …

Ontologies play a pivotal role in knowledge representation, particularly beneficial for the
Architecture, Engineering, and Construction (AEC) sector due to its inherent data diversity …

Acquiring photos and videos has become a new norm in construction and building projects.
However, imagery data is not utilized effectively due to the shortage of required skillsets in …

Although substantial progress in safety management performance has been made in the
construction industry, continuing fatalities and injuries at workplaces hinder sustainable …

Aims Perform a systematic review of current literature to evaluate and summarise the health
and safety hazards on construction sites. Methods Science Direct, SCOPUS and web of …