Applications of HFACS in maritime accident research: a systematic review and bibliometric analysis
FRONTIERS IN MARINE SCIENCE, cilt.13, ss.1-19, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 13
- Basım Tarihi: 2026
- Doi Numarası: 10.3389/fmars.2026.1978638
- Dergi Adı: FRONTIERS IN MARINE SCIENCE
- Derginin Tarandığı İndeksler: Applied Science & Technology Source, Natural Science Collection (ProQuest), Biological Science Database (ProQuest), Earth, Atmospheric, & Aquatic Science Collection (ProQuest), Scopus, Science Citation Index Expanded (SCI-EXPANDED), BIOSIS, Directory of Open Access Journals, Zoological Record
- Sayfa Sayıları: ss.1-19
- Recep Tayyip Erdoğan Üniversitesi Adresli: Evet
Özet
The Human Factors Analysis and Classification System (HFACS) is increasingly used and modified in maritime accident research. This study is a systematic review of the use of HFACS in maritimere search. Bibliometric patterns in Web of Science (WoS) and Scopus are investigated. The study used a combination of systematic review, content analysis and bibliometric mapping according to the PRISMA 2020 guidelines. The final datasets of WoS and Scopus included 60 studies each, of which 55 were common to both databases, resulting in a total of 65 unique eligible studies. The results show a recent growth in maritime HFACS research, mainly concentrated in China and Türkiye. HFACS is still in widespread use, but a number of maritime-specific adaptations have been proposed and HFACS has been combined with probabilistic, system-oriented and data-driven methods. Analyzing the ten most-cited and ten database-specific studies identified causal factors at different HFACS levels and mitigation measures addressing operational and organizational issues. The citation-network structures of WoS and Scopus were different, but the frequently occurring keywords and highly cited publications and authors were similar. In general, the results show that maritime HFACS research has progressed beyond accident classification by the use of adapted frameworks and complementary analytical methods.