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Stress among ab-initio pilots: A model of contributing factors by AHP

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  • Kilic, Bilal
  • Ucler, Caglar

Abstract

Human error in the cockpit triggers a chain of incidences, which might lead in aviation to fatal consequences. Indeed, it is the highest contributor to aviation accidents, where stress is correlated positively. Despite the large research base for commercial or military pilots, there is no study related to the workplace stressors of ab-initio pilots. With these considerations in mind, the present study is set out to explore stress factors among ab-initio pilots in the university. For this purpose, stressors were isolated and assessed by interviews with flight instructors. Then, the analytical hierarchy process (AHP) is applied to weigh those stressors among ab-initio pilots. A hierarchy was built with 3 criteria and 12 sub-criteria. Results showed that the most important criterion in stress among ab-initio pilots is personal factors, followed by organizational factors and environmental factors. Furthermore, the results revealed that the first four stressors within the global ranking were determined as the lack in body of knowledge, meteorological conditions, personality, and facilities and the fleet with the weights of 0.195, 0.154, 0.11 and 0.109. This work is unique due to its coverage of ab-initio pilots, and the results presented here may facilitate improvements in the evaluation of individual ab-initio pilots and the teaching environment for stress contributing factors.

Suggested Citation

  • Kilic, Bilal & Ucler, Caglar, 2019. "Stress among ab-initio pilots: A model of contributing factors by AHP," Journal of Air Transport Management, Elsevier, vol. 80(C), pages 1-1.
    • Handle: RePEc:eee:jaitra:v:80:y:2019:i:c:7
    DOI: 10.1016/j.jairtraman.2019.101706
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    1. John Goodell & Richard Bodey, 2012. "Price-earnings changes during US presidential election cycles: voter uncertainty and other determinants," Public Choice, Springer, vol. 150(3), pages 633-650, March.
    2. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    3. Brandon Julio & Youngsuk Yook, 2012. "Political Uncertainty and Corporate Investment Cycles," Journal of Finance, American Finance Association, vol. 67(1), pages 45-84, February.
    4. Chen, Chen-Cheng & Chen, Jenny & Lin, Pei-Chun, 2009. "Identification of significant threats and errors affecting aviation safety in Taiwan using the analytical hierarchy process," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 261-263.
    5. Pohekar, S. D. & Ramachandran, M., 2004. "Application of multi-criteria decision making to sustainable energy planning--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 8(4), pages 365-381, August.
    6. Havle, Celal Alpay & Kılıç, Bilal, 2019. "A hybrid approach based on the fuzzy AHP and HFACS framework for identifying and analyzing gross navigation errors during transatlantic flights," Journal of Air Transport Management, Elsevier, vol. 76(C), pages 21-30.
    7. Pantzalis, Christos & Stangeland, David A. & Turtle, Harry J., 2000. "Political elections and the resolution of uncertainty: The international evidence," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1575-1604, October.
    8. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
    9. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    10. Daramola, Adebukola Yewande, 2014. "An investigation of air accidents in Nigeria using the Human Factors Analysis and Classification System (HFACS) framework," Journal of Air Transport Management, Elsevier, vol. 35(C), pages 39-50.
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