Quantitative risk assessment of seafarers’ nonfatal injuries due to occupational accidents based on Bayesian network modeling
Reducing the incidence of seafarers’ workplace injuries is of great importance to shipping and ship management companies. The objective of this study is to identify the important influencing factors and to build a quantitative model for the injury risk analysis aboard ships, so as to provide a decis...
Main Authors: | Zhang, Guizhen, Thai, Vinh V., Law, Adrian Wing-Keung, Yuen, Kum Fai, Loh, Hui Shan, Zhou, Qingji |
---|---|
Other Authors: | School of Civil and Environmental Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/136792 |
Similar Items
-
Addressing the epistemic uncertainty in maritime accidents modelling using Bayesian network with interval probabilities
by: Zhang, Guizhen, et al.
Published: (2019) -
Investigation into interactions between accident consequences and traffic signs : a Bayesian bivariate Tobit quantile regression approach
by: Xu, Xuecai, et al.
Published: (2019) -
Determinants of job satisfaction and performance of seafarers
by: Yuen, Kum Fai, et al.
Published: (2019) -
Assessment of port resilience using Bayesian network: a study of strategies to enhance readiness and response capacities
by: Wang, Nanxi, et al.
Published: (2023) -
Bayesian filtering for building occupancy estimation from carbon dioxide concentration
by: Jiang, Chaoyang, et al.
Published: (2022)