This paper describes safety management systems (SMSs) on five core aspects: definition,
evolution, models, purpose and common elements of SMSs. A safety management system …

Introduction This systematic review examines and reports on peer reviewed studies that
have applied systems thinking accident analysis methods to better understand the cause of …

Though some studies have explored the causes of accidents on construction sites, the
interdependency among the underlying causes remains elusive. This undermines the …

矿山安全防控是一个复杂的系统工程, 涉及到多学科, 而其中的地质条件和成灾机理研究是事故
防控中最重要的基础工作. 但是, 目前还没有系统地研究安全地质的学科和工作机制. 因此 …

The aim of this study was to add to the relatively sparse literature on accident causality in the
construction industry by identifying frequent causal factors and connections between causal …

Although, the usefulness of the machine learning (ML) technique in predicting future
outcomes has been established in different domains of applications (eg, heath care), its …

Most large-scale industrial catastrophes (like the Deepwater Horizon oil spill, or Fukushima-
Daiichi nuclear disaster) result from a combination of faults in technical arrangements and …

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 unsafe behavior of construction workers has been widely recognized as the key
contributor to accidents in the construction industry. Studies claim that cognitive factors are …

This paper proposes an Internet-of-Things-based (IoT-based) safety barrier warning system
to achieve a safer underground construction site. A focus of this paper is to establish a …