Title :
Case-based HFACS for collecting, classifying and analyzing human errors in marine accidents
Author :
Xi, Y.T. ; Fang, Q.G. ; Chen, W.J. ; Hu, S.P.
Author_Institution :
Merchant Marine Coll., Shanghai Maritime Univ., Shanghai, China
Abstract :
Despite the modernization and automation in marine technology and the implementation of safety-related regulations, marine accidents are still a main concern for global maritime transportation. It is well known that human error is the key contributor, but human error data is hard to be collected and classified and the factors which influence human behavior should be identified. For this reason, the goal of this paper constructed a case-based HFACS (Human Factor Analysis and Classification System) method for marine human factor data collection and classification, and the data collected produced statics for analysis and safety management.
Keywords :
behavioural sciences computing; case-based reasoning; data analysis; human factors; marine accidents; marine safety; case based HFACS; classification system; data classification; data collection; global maritime transportation; human behavior; human error; human factor analysis and classification system; marine accidents; marine technology automation; safety management; safety related regulations; statical analysis; Air accidents; Automation; Educational institutions; Error analysis; Human factors; Marine accidents; Marine safety; Marine technology; Power system modeling; Transportation; Case-based; Data collection; HFACS; Human error; Marine accidents;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
DOI :
10.1109/IEEM.2009.5373128
