Yildiz, S, Uğurlu, Ö, Wang, J and Loughney, S (2020) Application of the HFACS-PV approach for identification of human and organizational factors (HOFs) influencing marine accidents. Reliability Engineering and System Safety, 208. ISSN 0951-8320
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Abstract
Shipping is one of the leading modes of transport that has dominated the world economy from past to present. The effectiveness and efficiency of maritime trade is closely related to maritime safety. Providing quality maritime safety is a fundamental requirement for environmentally friendly, sustainable, safe and efficient global trade. Therefore, maritime safety and human factors are frequently studied topics in literature. However, the fact that the human element has a complex socio-technical structure makes it difficult to fully analyse human factors in accidents. That is one of the biggest challenges in preventing and mitigating accidents. This research aims to demonstrate the feasibility of the modified Human Factor Analysis and Classification System for Passenger Vessel collisions (HFACS-PV) for other types of accidents. 51 grounding accidents that occurred in passenger vessels between 1991 and 2017 were analysed by using the HFACS-PV structure. The results show that the HFACS-PV structure created for passenger vessel accidents is compatible with contact, grounding and sinking accidents as well as collisions. Thus, the HFACS-PV structure allows for coherent analysis of marine accidents. Owing to the flexibility of HFACS, it is also possible to combine it with other analytical methods to conduct both qualitative and quantitative analysis. © 2020 Elsevier Ltd
Item Type: | Article |
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Uncontrolled Keywords: | 01 Mathematical Sciences, 09 Engineering, 15 Commerce, Management, Tourism and Services |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management T Technology > TA Engineering (General). Civil engineering (General) V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering |
Divisions: | Engineering |
Publisher: | Elsevier |
Date Deposited: | 08 Feb 2021 13:03 |
Last Modified: | 18 Dec 2021 00:50 |
DOI or ID number: | 10.1016/j.ress.2020.107395 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/14412 |
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