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Safety intelligence: incremental proactive risk management for holistic aviation safety performance

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Article

Patriarca, R. ; Di Gravio, G. ; Cioponea, R. ; Licu, A.

Safety Science

2019

118

October

551-567

artificial intelligence ; analysis of accident causes ; risk management ; air transport

Risk assessment and risk management

https://doi.org/10.1016/j.ssci.2019.05.040

English

Bibliogr.

"Aviation safety is traditionally managed based on the analysis of accidents and incidents. Such strategies allowed aviation safety to evolve greatly, but have the major drawback of being reactive, i.e. mostly based on hindsight. Acknowledging the need to avoid restricting safety analysis only to negative aspects, such as errors and failures, regulations progressively aimed to delve into the complexity of the work domain. In this context, EUROCONTROL developed a reporting framework harmonized with EU and ICAO regulations, the Toolkit for ATM Occurrence Investigation (TOKAI), which allows a structured and unified reporting for Air Navigation Service Providers (ANSPs). This paper, starting from the theoretical benefits of a structured strategy for learning from events, and the operational application of TOKAI in line with EU and ICAO regulations, provides examples on how an incremental proactive risk assessment strategy can be structured, starting from reporting of adverse events. The paper includes examples of data-driven analyses and holistic safety dashboard that can be developed using TOKAI data to empower the decision-makers' Safety Intelligence. All this is possible by the adoption of a neutralised language/taxonomy that facilitates a similar conversation for both occurrences but also day to day operations."

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