Cargando…
Semantic Network Analysis Using Construction Accident Cases to Understand Workers’ Unsafe Acts
Unsafe acts by workers are a direct cause of accidents in the labor-intensive construction industry. Previous studies have reviewed past accidents and analyzed their causes to understand the nature of the human error involved. However, these studies focused their investigations on only a small numbe...
Autores principales: | Kang, Suhyun, Cho, Sunyoung, Yun, Sungmin, Kim, Sangyong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656935/ https://www.ncbi.nlm.nih.gov/pubmed/34886388 http://dx.doi.org/10.3390/ijerph182312660 |
Ejemplares similares
-
Exploring the Impact of Unsafe Behaviors on Building Construction Accidents Using a Bayesian Network
por: Guo, Shengyu, et al.
Publicado: (2019) -
Understanding the Sociocognitive Process of Construction Workers’ Unsafe Behaviors: An Agent-Based Modeling Approach
por: Ye, Gui, et al.
Publicado: (2020) -
Research on psychophysiological characteristics of construction workers during consciously unsafe behaviors
por: Li, Xiangchun, et al.
Publicado: (2023) -
Cause Analysis of Unsafe Behaviors in Hazardous Chemical Accidents: Combined with HFACs and Bayesian Network
por: Li, Xiaowei, et al.
Publicado: (2019) -
Study on Influencing Factors of Construction Workers’ Unsafe Behavior Based on Text Mining
por: Li, Ping, et al.
Publicado: (2022)