Study on Fatigue Coefficient of Airline Pilots

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Abstract

This paper uses the Multidimensional Fatigue Inventory (MFI-16) to investigate the fatigue status of pilots, and the reliability and validity of the scale are tested by Cronbach’s α and exploratory factor analysis. The founding shows that mild fatigue and above accounted for 67.7%. For further quantify the impact of different flights on pilots’ fatigue, research improves the fatigue coefficient model based on the results of pilot fatigue feeling questionnaire. Combined with multifactor analysis of variance and multiple linear regression, it is found that the independent variables have different and positive effects on the dependent variables, and there is no multicollinearity. Through the actual test, its accuracy is improved by 16.7% compared with the original model.

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Zhang, P., Zhao, W., Shi, L., Wang, Y., Sun, H., & Sun, Z. (2022). Study on Fatigue Coefficient of Airline Pilots. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.865342

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