Risk factors and emerging technologies for preventing falls from heights at construction sites
Falls at construction sites account for approximately 50% of all accidents reported in the US
annually, making them the leading cause of injuries and fatalities. Although there have been …
annually, making them the leading cause of injuries and fatalities. Although there have been …
Large-group failure mode and effects analysis for risk management of angle grinders in the construction industry
Accidents associated with the use of construction equipment are among the leading causes
of fatal injuries in the construction industry. In particular, angle grinders are associated with a …
of fatal injuries in the construction industry. In particular, angle grinders are associated with a …
Tag and IoT based safety hook monitoring for prevention of falls from height
Monitoring the unsafe behavior of construction workers at risky elevations is essential for
eliminating fall from height (FFH) accidents. This study aims to bridge the gap between …
eliminating fall from height (FFH) accidents. This study aims to bridge the gap between …
Assessing of causes of accidents based on a novel integrated interval-valued Fermatean fuzzy methodology: towards a sustainable construction site
The statistics pertaining to accidents occurring at construction sites underscore the pressing
requirement for a substantial and timely reevaluation of safety measures within the …
requirement for a substantial and timely reevaluation of safety measures within the …
[HTML][HTML] Analytical Hierarchy Process for Construction Safety Management and Resource Allocation
The construction industry plays a crucial role in contributing to the economy and develo**
sustainable infrastructures. However, it is known as one of the most dangerous industrial …
sustainable infrastructures. However, it is known as one of the most dangerous industrial …
Automatic identification of causal factors from fall-related accident investigation reports using machine learning and ensemble learning approaches
To enhance the performance of learning from past fall-related accidents, this study
developed an innovative framework for automatically extracting every individual causal …
developed an innovative framework for automatically extracting every individual causal …
Develo** a national data-driven construction safety management framework with interpretable fatal accident prediction
Occupational accidents are frequent in the construction industry, containing significant risks
in the working environment. Therefore, early designation, taking preventive actions, and …
in the working environment. Therefore, early designation, taking preventive actions, and …
Learning spatial patterns and temporal dependencies for traffic accident severity prediction: A deep learning approach
Traffic accidents have a substantial impact on human life and property, resulting in millions
of injuries every year. To ensure road safety and enhance the research in this direction, it is …
of injuries every year. To ensure road safety and enhance the research in this direction, it is …
Accident causes data-driven coal and gas outburst accidents prevention: Application of data mining and machine learning in accident path mining and accident case …
X Xuecai, S Xueming, F Gui, S Shifei… - Process Safety and …, 2022 - Elsevier
Analyzing the causes of accidents, excavating accident paths, and applying accident
prevention are important tasks in safety management. Focusing on coal and gas outburst …
prevention are important tasks in safety management. Focusing on coal and gas outburst …
Severe injuries among construction workers: Insights from OSHA's new severe injury reporting program
Construction workers sustain a large number of work-related injuries. These injuries
sometimes result in irreversible damage, life-long disability, and even the loss of life …
sometimes result in irreversible damage, life-long disability, and even the loss of life …