As urbanization continues to grow around the world, the risks associated with construction
are increasing. Scientific and practical risk assessments help reduce safety risks and …

Abstract Machine learning plays a vital role in construction industry which could make
improve project's safety, productivity, and quality. Many studies have attempted to explore …

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 …

A rail transit network usually represents the core of a city's public transportation system. The
overall topological structures and functional features of a public transportation network …

As a noticeable focal point in the field of analysis tools, Social Network Analysis (SNA) has
received much interest to model real-world phenomena in a variety of domains, eg, research …

Due to the increasing complexity and nonlinearity of complex industrial systems, traditional
risk analysis methods have become inapplicable. A method of dynamic risk analysis and …

It is widely accepted that the construction industry is dangerous, and subway construction
projects are more inherently dangerous than general construction projects. On the basis of …

Accident causation theories explain the possible causation mechanisms of accidents, and
unsafe behavior is a major component of such causes. Considering the limitation that …

This paper develops a Bayesian network-based approach for risk modeling of collapses and
derivative accidents to systematically avoid subway construction collapse events and …

Coal mine accident prevention is a key issue affecting the safety of coal production in China.
From accident analysis, it has been found that the interaction of unsafe acts of coal miners is …