Pregled bibliografske jedinice broj: 1260316
Conceptual Model of Predictive Safety Management Methodology in Aviation
Conceptual Model of Predictive Safety Management Methodology in Aviation // Aerospace, 10 (2023), 3; 268, 46 doi:10.3390/aerospace10030268 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1260316 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Conceptual Model of Predictive Safety Management
Methodology in Aviation
Autori
Bartulović, Dajana ; Steiner, Sanja
Izvornik
Aerospace (2226-4310) 10
(2023), 3;
268, 46
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
conceptual ; model ; predictive ; safety management ; methodology ; aviation
Sažetak
Due to the continuous growth of air traffic and the development of aviation systems, the current safety management methodologies should be improved and upgraded. Safety management systems help aviation organizations to manage, maintain and increase safety efficiently. The focus of the research is on the development of the predictive safety management methodology to upgrade current reactive and proactive safety management methodologies and to improve the overall safety level in aviation organizations. Predictive methods are used in various aviation sectors (air navigation services, airport operations, airline operations) for planning purposes but not in the segment of safety management. Available examples of predictive methods were tested and analyzed. Time series decomposition methods were selected as most suited for implementation in aviation safety management. The paper explicitly emphasizes correlations between safety management methodologies in the sample aviation organization. The paper also shows how causal links among organizational and safety performance indicators can be detected, by developing causal models of mutual influences using causal modeling methods, on the sample organization. This research defined steps and tools of the conceptual model of predictive safety management methodology, which enables an organization to identify and mitigate future adverse events.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport
POVEZANOST RADA
Ustanove:
Fakultet prometnih znanosti, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus