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Published in: BMC Public Health 1/2022

Open Access 01-12-2022 | COVID-19 | Research

Flight crew fatigue risk assessment for international flights under the COVID-19 outbreak response exemption policy

Authors: Junya Sun, Ruishan Sun, Jingqiang Li, Ping Wang, Nan Zhang

Published in: BMC Public Health | Issue 1/2022

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Abstract

Background

In response to the COVID-19 outbreak, the Civil Aviation Administration of China (CAAC) has formulated Implementation Measures for Exemption of Crew Duty Periods and Flight Time Restrictions during the COVID-19 Outbreak. This exemption policy imposes temporary deviations from the approved crew duty periods and flight time restrictions for some transport airlines and regulates the use of multiple crews for continuous round-trip flights. However, no research has been conducted on flight crew fatigue under this exemption policy. That is, the exemption policy lacks theoretical analysis and scientific validation.

Methods

Firstly, flight plans for international flights under both the exemption and the CCAR-121 Policy schemes (with three flight departure scenarios: early morning, midday and evening) are designed, and flight plans are simulated based on the SAFE model. The Karolinska Sleepiness Scale (KSS) and the PVT objective test of alertness, both of which are commonly used in the aviation industry, are then selected for use in an empirical experimental study of flight crew fatigue on two flights subject to the exemption and CCAR-121 policies.

Results

The SAFE model simulation found that the fatigue risk results based on flight crews for flights departing in the early morning (4:00), at noon (12:00) and in the evening (20:00) indicate that the fatigue risk levels of flight crews operating under the exemption policy are overwhelmingly lower than or similar to those operating under the CCAR-121 policy. However, there were a few periods when the fatigue risk of crews flying under the exemption policy was higher than that of crews flying under the CCAR-121 policy, but at these times, the crews flying under both policies were either at a lower level of fatigue risk or were in the rest phase of their shifts. In the experimental study section, 40 pilots from each of the early morning (4:00), noon (12:00) and evening (20:00) departures operating under the exemption policy were selected to collect KSS scale data and PVT test data during their duty periods, and a total of 120 other pilots operating under the CCAR-121 policy were selected for the same experiment. First, the KSS scale data results found that flight pilots, whether flying under the exemption policy or under the CCAR-121 policy, had overall similar KSS scores, maintained KSS scores below the fatigue risk threshold (i.e., KSS score < 6) during the flights and that the empirical KSS data and the model simulation results from the KSS data were overall identical at the test nodes during the flight and had nearly identical trends. Finally, the results of the PVT objective test indicators showed that the overall change in 1/RT of the crews flying under the exemption policy was less than or similar to that of the crews flying under the CCAR-121 policy, while the maximum change in 1/RT of the crews under both policies was between 1 and 1.5. This indicates that the overall level of alertness of the crew flying under the exemption policy is higher than or similar to that of the crew flying under the CCAR-121 policy, while the change in alertness level of the crew before and after the mission is relatively small when flying under either policy.

Conclusion

Based on the model simulation results and the results of the empirical study, it was verified that the overall fatigue risk level of flight crews operating under the exemption policy is lower than or similar to the fatigue risk level of flight crews operating under the CCAR-121 policy. Therefore, the exemption policy in response to the COVID-19 outbreak does not result in an overall increase in the level of flight crew fatigue risk compared to the original CCAR-121 policy.
Literature
5.
go back to reference ICAO. Fatigue risk management systems: implementation guide for regulators. 2012. Accessed 22 June 2022. ICAO. Fatigue risk management systems: implementation guide for regulators. 2012. Accessed 22 June 2022.
11.
go back to reference Mellor D, Stone B. Perspectives on the system for aircrew fatigue evaluation (SAFE) predictive alertness model for commercial passenger jet pilots. Surrey: Fatigue Risk Management Science Limited; 2012. Mellor D, Stone B. Perspectives on the system for aircrew fatigue evaluation (SAFE) predictive alertness model for commercial passenger jet pilots. Surrey: Fatigue Risk Management Science Limited; 2012.
12.
go back to reference Spencer MB, Robertson KA. The application of an alertness model to ultra-long-range civil air operations. Somnologie-Schlafforschung und Schlafmedizin. 2007;11(3):159–66.CrossRef Spencer MB, Robertson KA. The application of an alertness model to ultra-long-range civil air operations. Somnologie-Schlafforschung und Schlafmedizin. 2007;11(3):159–66.CrossRef
14.
go back to reference Stone B, Mellor D. Analysis of a single monthly alert air schedule using the system for aircrew fatigue evaluation (SAFE) model. Surrey: Fatigue Risk Management Science Limited; 2013. Stone B, Mellor D. Analysis of a single monthly alert air schedule using the system for aircrew fatigue evaluation (SAFE) model. Surrey: Fatigue Risk Management Science Limited; 2013.
15.
go back to reference Stone BM, Spencer MB, Rogers AS, Nicholson AN, Barnes R, Green R. Influence of polar route schedules on the duty and rest patterns of aircrew. Ergonomics. 1993;36(12):1465–77.CrossRef Stone BM, Spencer MB, Rogers AS, Nicholson AN, Barnes R, Green R. Influence of polar route schedules on the duty and rest patterns of aircrew. Ergonomics. 1993;36(12):1465–77.CrossRef
16.
go back to reference Samel A, Gundel A, Akerstedt T, Gillberg M, Cabon PH, Mezzane H, Valk P. Predicting Alertness in Future Ultra Long-range Operations: A Validation Study by ECASS. QinetiQ Report No. QINETIQ/KI/CHS/CR021119/2.0. 2002. Samel A, Gundel A, Akerstedt T, Gillberg M, Cabon PH, Mezzane H, Valk P. Predicting Alertness in Future Ultra Long-range Operations: A Validation Study by ECASS. QinetiQ Report No. QINETIQ/KI/CHS/CR021119/2.0. 2002.
18.
go back to reference Achermann P. The two-process model of sleep regulation revisited. Aviat Space Environ Med. 2004;75(3):37–43. Achermann P. The two-process model of sleep regulation revisited. Aviat Space Environ Med. 2004;75(3):37–43.
19.
go back to reference Akerstedt T,Folkard S,Portin C. Predictions from the three-process model of alertness. Aviat Space Environ Med,2004,75( 3) : 75–83. Akerstedt T,Folkard S,Portin C. Predictions from the three-process model of alertness. Aviat Space Environ Med,2004,75( 3) : 75–83.
20.
go back to reference Dawson D, Fletcher A, Roach GD. A model to predict work-related fatigue based on hours of work. Aviat Space Environ Med. 2004;75(3):61–9. Dawson D, Fletcher A, Roach GD. A model to predict work-related fatigue based on hours of work. Aviat Space Environ Med. 2004;75(3):61–9.
21.
go back to reference Åkerstedt T, Connor J, Gray A, et al. Predicting road crashes from a mathematical model of alertness regulation—the sleep/wake predictor. Accid Anal Prev. 2008;40(4):1480–5.CrossRef Åkerstedt T, Connor J, Gray A, et al. Predicting road crashes from a mathematical model of alertness regulation—the sleep/wake predictor. Accid Anal Prev. 2008;40(4):1480–5.CrossRef
22.
go back to reference Dean D, Dennis A, Fletcher A, et al. Developing mathematical models of neurobehavioral performance for the “real world”. J Biol Rhythms. 2007;22(3):246–58.CrossRef Dean D, Dennis A, Fletcher A, et al. Developing mathematical models of neurobehavioral performance for the “real world”. J Biol Rhythms. 2007;22(3):246–58.CrossRef
23.
go back to reference Drummond SPA, Bischoff-Grethe A, Dinges DF, et al. The neural basis of the psychomotor vigilance task. Sleep. 2005;28(9):1059–68.PubMed Drummond SPA, Bischoff-Grethe A, Dinges DF, et al. The neural basis of the psychomotor vigilance task. Sleep. 2005;28(9):1059–68.PubMed
24.
go back to reference Seah BZQ, Gan WH, Wong SH, et al. Proposed data-driven approach for occupational risk management of aircrew fatigue. Saf Health Work. 2021;12(4):462–70.CrossRef Seah BZQ, Gan WH, Wong SH, et al. Proposed data-driven approach for occupational risk management of aircrew fatigue. Saf Health Work. 2021;12(4):462–70.CrossRef
25.
go back to reference Thomann J, Baumann CR, Landolt HP, et al. Psychomotor vigilance task demonstrates impaired vigilance in disorders with excessive daytime sleepiness. J Clin Sleep Med. 2014;10(9):1019–24.CrossRef Thomann J, Baumann CR, Landolt HP, et al. Psychomotor vigilance task demonstrates impaired vigilance in disorders with excessive daytime sleepiness. J Clin Sleep Med. 2014;10(9):1019–24.CrossRef
26.
go back to reference Lamond N, DAWsON D, Roach GD. Fatigue assessment in the field: validation of a hand-held electronic psychomotor vigilance task. Aviat Space Environ Med. 2005;76(5):486–9.PubMed Lamond N, DAWsON D, Roach GD. Fatigue assessment in the field: validation of a hand-held electronic psychomotor vigilance task. Aviat Space Environ Med. 2005;76(5):486–9.PubMed
27.
go back to reference Basner M, Dinges DF. Maximizing sensitivity of the psychomotor vigilance test (PVT) to sleep loss. Sleep. 2011;34(5):581–91.CrossRef Basner M, Dinges DF. Maximizing sensitivity of the psychomotor vigilance test (PVT) to sleep loss. Sleep. 2011;34(5):581–91.CrossRef
28.
go back to reference Loh S, Lamond N, Dorrian J, et al. The validity of psychomotor vigilance tasks of less than 10-minute duration. Behav Res Methods Instrum Comput. 2004;36(2):339–46.CrossRef Loh S, Lamond N, Dorrian J, et al. The validity of psychomotor vigilance tasks of less than 10-minute duration. Behav Res Methods Instrum Comput. 2004;36(2):339–46.CrossRef
29.
go back to reference International Civil Aviation Organization (ICAO). Fatigue management guide for airline operators. Guidance manual. 2nd ed. Montreal: ICAO; 2015. International Civil Aviation Organization (ICAO). Fatigue management guide for airline operators. Guidance manual. 2nd ed. Montreal: ICAO; 2015.
30.
go back to reference Åkerstedt T, Gillberg M. Subjective and objective sleepiness in the active individual [J]. Int J Neurosci. 2009;52(1–2):1–37. Åkerstedt T, Gillberg M. Subjective and objective sleepiness in the active individual [J]. Int J Neurosci. 2009;52(1–2):1–37.
31.
go back to reference Gander PH, Signal TL, van den Berg MJ, et al. In-flight sleep, pilot fatigue and P sychomotor V igilance T ask performance on ultra-long range versus long range flights. J Sleep Res. 2013;22(6):697–706.CrossRef Gander PH, Signal TL, van den Berg MJ, et al. In-flight sleep, pilot fatigue and P sychomotor V igilance T ask performance on ultra-long range versus long range flights. J Sleep Res. 2013;22(6):697–706.CrossRef
32.
go back to reference Goode JH. Are pilots at risk of accidents due to fatigue? J Safety Res. 2003;34(3):309–13.CrossRef Goode JH. Are pilots at risk of accidents due to fatigue? J Safety Res. 2003;34(3):309–13.CrossRef
33.
go back to reference Cabon P, Coblentz A, Mollard R, Fouillot JP. Human vigilance in railway and long-haul flight operation. Ergonomics. 1993;36(9):1019–33.CrossRef Cabon P, Coblentz A, Mollard R, Fouillot JP. Human vigilance in railway and long-haul flight operation. Ergonomics. 1993;36(9):1019–33.CrossRef
34.
go back to reference Wright N, McGown A. Vigilance on the civil flight deck: incidence of sleepiness and sleep during long-haul flights and associated changes in physiological parameters. Ergonomics. 2001;44(1):82–106.CrossRef Wright N, McGown A. Vigilance on the civil flight deck: incidence of sleepiness and sleep during long-haul flights and associated changes in physiological parameters. Ergonomics. 2001;44(1):82–106.CrossRef
35.
go back to reference Roach GD, Darwent D, Dawson D. How well do pilots sleep during long-haul flight? Ergonomics. 2010;53(Supp. (9)):1072–5.CrossRef Roach GD, Darwent D, Dawson D. How well do pilots sleep during long-haul flight? Ergonomics. 2010;53(Supp. (9)):1072–5.CrossRef
36.
go back to reference Dawson D, Darwent D, Roach GD. How should a bio-mathematical model be used within a fatigue risk management system to determine whether or not a working time arrangement is safe? Accid Anal Prev. 2017;99:469–73.CrossRef Dawson D, Darwent D, Roach GD. How should a bio-mathematical model be used within a fatigue risk management system to determine whether or not a working time arrangement is safe? Accid Anal Prev. 2017;99:469–73.CrossRef
37.
go back to reference Niu Y, Xue C, Zhou X, et al. Which is more prominent for fighter pilots under different flight task difficulties: visual alert or verbal alert? Int J Ind Ergon. 2019;72:146–57.CrossRef Niu Y, Xue C, Zhou X, et al. Which is more prominent for fighter pilots under different flight task difficulties: visual alert or verbal alert? Int J Ind Ergon. 2019;72:146–57.CrossRef
38.
go back to reference Ancker JS, Edwards A, Nosal S, et al. Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system. BMC Med Inform Decis Mak. 2017;17(1):1–9.CrossRef Ancker JS, Edwards A, Nosal S, et al. Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system. BMC Med Inform Decis Mak. 2017;17(1):1–9.CrossRef
39.
go back to reference Alaimo A, Esposito A, Orlando C, et al. Aircraft pilots workload analysis: heart rate variability objective measures and NASA-task load index subjective evaluation. Aerospace. 2020;7(137):1–17. Alaimo A, Esposito A, Orlando C, et al. Aircraft pilots workload analysis: heart rate variability objective measures and NASA-task load index subjective evaluation. Aerospace. 2020;7(137):1–17.
40.
go back to reference Alaimo A, Esposito A, Milazzo A, et al. An aircraft pilot workload sensing system. In: European workshop on structural health monitoring. Cham: Springer; 2020. p. 883–92. Alaimo A, Esposito A, Milazzo A, et al. An aircraft pilot workload sensing system. In: European workshop on structural health monitoring. Cham: Springer; 2020. p. 883–92.
Metadata
Title
Flight crew fatigue risk assessment for international flights under the COVID-19 outbreak response exemption policy
Authors
Junya Sun
Ruishan Sun
Jingqiang Li
Ping Wang
Nan Zhang
Publication date
01-12-2022
Publisher
BioMed Central
Keywords
COVID-19
Fatigue
Published in
BMC Public Health / Issue 1/2022
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-022-14214-5

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