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Title: | Application of the HFACS-PV approach for identification of human and organizational factors (HOFs) influencing marine accidents |
Authors: | Yildiz, Serdar Ugurlu, Ozkan Wang, Jin Loughney, Sean Ordu Üniversitesi 0000-0002-3340-5819 |
Keywords: | CLASSIFICATION-SYSTEM; BAYESIAN NETWORK; HUMAN ERRORS; RISK; COLLISION; MODEL; SAFETY; GROUNDINGS; OIL Human factor; HFACS-PV; Marine accident; Marine safety; Accident analysis |
Issue Date: | 2021 |
Publisher: | ELSEVIER SCI LTD OXFORD |
Citation: | Yildiz, S., Ugurlu, O., Wang, J., Loughney, S. (2021). Application of the HFACS-PV approach for identification of human and organizational factors (HOFs) influencing marine accidents. Reliability Engineering & System Safety, 208, -.Doi:10.1016/j.ress.2020.107395 |
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. |
Description: | WoS Categories : Engineering, Industrial; Operations Research & Management Science Web of Science Index : Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) Research Areas : Engineering; Operations Research & Management Science Open Access Designations : Green Accepted |
URI: | http://dx.doi.org/10.1016/j.ress.2020.107395 https://www.webofscience.com/wos/woscc/full-record/WOS:000613176700018 http://earsiv.odu.edu.tr:8080/xmlui/handle/11489/3582 |
ISBN: | 0951-8320 1879-0836 |
Appears in Collections: | Deniz Ulaştırma İşletme Mühendisliği |
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