Forecasting and assessing consequences of aviation safety occurrences. (January 2019)

• Record Type: Journal Article
• Authors: Rios Insua, David; Alfaro, Cesar; Gomez, Javier; Hernandez-Coronado, Pablo; Bernal, Francisco
• Is Part Of: Safety science. Volume 111(2019)
• Page Start: 243
• Page End: 252
• Publication Date: 2019-01
• Subjects: 00-01 -- 99-00; Aviation safety -- Risk management -- Bayesian forecasting -- Multiattribute utility -- Decision analysis; Industrial accidents -- Periodicals; Accident Prevention -- Periodicals; Safety -- Periodicals; Travail -- Accidents -- Périodiques; 363.11
• DOI: 10.1016/j.ssci.2018.07.018
• Languages: English
• ISSNs: 0925-7535

Abstract

Highlights: Identification of relevant consequences in Aviation Safety at state level. Multiattribute utility models to forecast and assess consequences of occurrences. Models to facilitate the definition of national Safety Management Systems. Abstract: Aviation safety is essential for the healthy growth and sustainability of the global economy. The implementation of Safety Management Systems to support safe service delivery has become one of the most important goals within the airline industry over the last years. However, in most cases the involved organisations use unsophisticated methods based on risk matrices for the development of such systems. In this paper, we present models to forecast and assess the consequences of aviation safety occurrences as part of a framework for aviation safety risk management at state level.