Introduction: Leading indicators represent an invaluable tool that offer organizations the
capability to: track health and safety performance, not just failures and accidents; measure …

The data generation in the construction industry has increased dramatically. The major
portion of the data in the architecture, engineering and construction (AEC) domain are …

Construction sites are considered high-risk working environments. Safety risk analysis of
construction sites is one of the important aspects of construction safety management …

Introduction: This research implements the steps of developing or identifying leading
indicators (LIs) delineated in a previously published conceptual model to test its practicality …

In the recent years, the interest to knowledge extraction in the architecture, engineering and
construction (AEC) domain has grown dramatically. Along with the advances in the AEC …

Occupational safety remains of interest in the construction sector. The frequency of accidents
has decreased in Sweden but only to a level that remains constant over the last ten years …

Machine learning (ML)-supported accident prediction models appear as an alternative to the
much older accident causation models (ACMs). ACMs represent a simplification of accident …

Human vigilance is a cognitive function that requires sustained attention toward change in
the environment. Human vigilance detection is a widely investigated topic which can be …

This study aims to realize construction hazard warning by determining critical characteristics
of hazards and using network of network (NoN) analysis. First, text mining is adopted to …

Occupational accidents continue to be an unresolved problem in the Swedish construction
industry, despite a whole range of routines, campaigns, education, management appraisals …