2014
DOI: 10.1016/j.ssci.2013.10.002
|View full text |Cite
|
Sign up to set email alerts
|

Human fatigue’s effect on the risk of maritime groundings – A Bayesian Network modeling approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

3
102
0
3

Year Published

2015
2015
2019
2019

Publication Types

Select...
4
4

Relationship

0
8

Authors

Journals

citations
Cited by 185 publications
(119 citation statements)
references
References 30 publications
3
102
0
3
Order By: Relevance
“…These studies were mainly based on one of the casualty types [3,4,5], main causes of any casualty types [6,7,8] or finding out the relationship between ship types or cargo types and casualty types [9,10,11]. For instance, Roberts et.…”
Section: Figure 1 Human Factormentioning
confidence: 99%
“…These studies were mainly based on one of the casualty types [3,4,5], main causes of any casualty types [6,7,8] or finding out the relationship between ship types or cargo types and casualty types [9,10,11]. For instance, Roberts et.…”
Section: Figure 1 Human Factormentioning
confidence: 99%
“…This paper refers to those in the marine and maritime environment, e.g., collision (Martins and Maturana, 2009), grounding risk (Akhtar and Utne, 2014), and offshore maintenance work (Vinnem et al, 2012). Mkrtchyan et al (2015) give a wider overview of applications of BBN in HRA.…”
Section: Related Workmentioning
confidence: 99%
“…Other models, e.g., Davoudian et al (1994), Aven et al (2006), Aas (2008), Vinnem et al (2012), Groth and Swiler (2013), Akhtar and Utne (2014) give input to inclusion of more generic HOF, such as Communication, Training of Operators, Procedures, Human Fatigue and Weather.…”
Section: Model Descriptionmentioning
confidence: 99%
See 1 more Smart Citation
“…In marine transportation, human performance and cognitive processes have been studied utilizing constructs such as situation awareness (Hetherington, Flin & Mearns, 2006); threat and collision avoidance (Hockey et al, 2003), and situation and voyage plan monitoring (Schuffel et al, 1989), and exploring decision processes such as confidence, satisfaction, vigilance, stress, workload (Gould et al, 2009), fatigue (Akhtar and Utne, 2014), and mental and physical effort (Hockey et al, 2003). The latter concepts are well-known information and decision science research constructs, and the former are core competencies in marine transportation, codified in the International Collision Regulations, tested worldwide in mariner certification and licensing exams, and publicized in guidance notes provided by regulatory organizations and ship classification societies and as keystone metrics in numerous studies, publications, and regulatory advisories (International Maritime Organization, 2014).…”
Section: R E S E a Rc H O N W E A R A B L E I M M E R S I V E Au G mentioning
confidence: 99%