A prediction model for safety performance of construction sites using a linear artificial bee colony programming approach
H Abbasianjahromi… - International Journal …, 2022 - Taylor & Francis
The reputation of the construction industry as one of the most world's dangerous industries is
because of its tremendous accident and fatality rate. In this study, a prediction model for …
because of its tremendous accident and fatality rate. In this study, a prediction model for …
Work safety behaviour model for improving safety in construction industry using Bayesian Network
C Zid - 2020 - eprints.uthm.edu.my
The construction industry involves one of the most hazardous occupations for workers due to
complex management processes, environmental issues, work pressure and heavy …
complex management processes, environmental issues, work pressure and heavy …
Bayesian network models for evaluating the impact of safety measures compliance on reducing accidents in the construction industry
Construction is one of the most hazardous industries worldwide. Implementing safety
regulations is the responsibility of all parties involved in a construction project and must be …
regulations is the responsibility of all parties involved in a construction project and must be …
Influencing factors and prewarning of unsafe status of construction workers based on BP neural network
N Liu, D Xie, C Wang, Y Bai - Applied Sciences, 2023 - mdpi.com
Scholars have paid considerable attention to the factors that affect the safety states of
construction workers. However, only a few studies have focused on the safety assessment …
construction workers. However, only a few studies have focused on the safety assessment …
Constructing a Bayesian network model for improving safety behavior of employees at workplaces
Introduction Unsafe behavior increases the risk of accident at workplaces and needs to be
managed properly. The aim of the present study was to provide a model for managing and …
managed properly. The aim of the present study was to provide a model for managing and …
Construction of a Bayesian network model for improving the safety performance of electrical and mechanical (E&M) works in repair, maintenance, alteration and …
The safety concern and volume of repair, maintenance, alteration and addition (RMAA)
works have significantly increased in recent years. RMAA works include a variety of work …
works have significantly increased in recent years. RMAA works include a variety of work …
A neural network classifier model for forecasting safety behavior at workplaces
The construction industry is notorious for having an unacceptable rate of fatal accidents.
Unsafe behavior has been recognized as the main cause of most accidents occurring at …
Unsafe behavior has been recognized as the main cause of most accidents occurring at …
[HTML][HTML] Artificial Bee Colony Algorithm to Optimize the Safety Distance of Workers in Construction Projects
This paper presents the results of a simulation model regarding the productivity and safety
working space for construction workers through the floors of a building using swarm …
working space for construction workers through the floors of a building using swarm …
Predicting the level of safety performance using an artificial neural network
In this study, an artificial neural network model is developed to predict the level of safety
performance on construction sites. Adopting an experimental research design, the model …
performance on construction sites. Adopting an experimental research design, the model …
Hazard analysis using a Bayesian network and linear programming
In order to make a system safer, it is necessary to determine which hazard should be
removed by considering the interactions of all hazards in the process. In this study, the …
removed by considering the interactions of all hazards in the process. In this study, the …