Pilot fatigue has been identified as a determinative factor in various safety events, leading to the introduction of Fatigue Risk Management regulations and standards worldwide. The scope of this study was to examine whether event and pilot characteristics recorded in safety investigation reports were associated with fatigue when the latter was stated as a contributing/causal factor. The sample consisted of 296 reports published by various investigation authorities and referred to safety events occurred between 1990 and 2014. The researchers conducted frequency analyses and Chi-square / Fisher Exact tests as a means to examine possible associations. Flight crew fatigue was found as a cause in 8.8% of the reports and was more frequently present in occurrences during evening and night operations, take-off, climbing, approach and landing phases, and Control Flight into Terrain and Runway Excursion eventualities. No significant differences were found regarding the year of occurrence, aircraft age, weight and type (jet, propeller, rotary), flight type (Commercial Air Transport and other), operation type (passenger and non-passenger) and event severity. Regarding the pilot characteristics, the more the hours on duty the higher the frequency of events where fatigue was recognised as a factor. No association was detected between the frequency of fatigue related events and pilots’ age, hours of experience in the respective aircraft type and in total, and, surprisingly, regarding sleeping and resting hours before reporting for duty. The findings only partially confirmed associations of fatigue with the operational, event, aircraft and flight crew characteristics included in this study, and showed that fatigue had contributed to (serious) incidents and accidents with about the same frequency. The results suggest a consideration of quality of flight crew sleep/rest before reporting on duty.
Fatigued pilots are prone to experience cognitive disorders that degrade their performance and adherence to high safety standards. In light of the current challenging context in aviation, we report the early phase of our ongoing project on the re-evaluation of human factors research for flight crew. Our motivation stems from the need for aviation organisations to develop decision support systems for operational aviation settings, able to feed-in in the organisations’ fatigue risk management efforts. Key criteria to this end are the need for the least possible intrusiveness and the added information value for a safety system. Departing from the problems in compliance-focused fatigue risk management and the intrusive nature of clinical studies, we report a neuroscientific methodology able to yield markers that can be easily integrated in a decision support system at the operational level. Reporting the preliminary phase of our live project, we evaluate the tools suitable for the development of a system that tracks subtle pilot states, such as drowsiness and micro-sleep episodes.
Sleep quality and maintenance of the optimal cognitive functioning is of crucial importance for aviation safety. Fatigue Risk Management (FRM) enables the operator to achieve the objectives set in their safety and FRM policies. As in any other risk management cycle, the FRM value can be realized by deploying suitable tools that aid robust decision-making. For the purposes of our article, we focus on fatigue hazard identification to explore the possible developments forward through the enhancement of objective tools in air transport operators. To this end we compare subjective and objective tools that could be employed by an FRM system. Specifically, we focus on an exploratory survey on 120 pilots and the analysis of 250 fatigue reports that are compared with objective fatigue assessment based on the polysomnographic (PSG) and neurocognitive assessment of three experimental cases. We highlight the significance of predictive objective tools that should be deployed by contemporary FRM models. We also report the need for utilization of scientific-based tools for predictive FRM, in which objective sleep quality and neurocognitive assessment should be the core aspect. We note the period of restructuring ahead as an opportunity for operators to rethink and restructure their FRM.
