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Safety perceptions of training pilots based on training institution and experience

Author

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  • Hong, Seock-Jin
  • Lee, Kang-Seok
  • Seol, Eun-Suk
  • Young, Seth

Abstract

This study examines training pilot survey data in order to determine how students’ years of education and the institutions that they attend affect their perceptions of the risk factors in aviation as assessed using the SHELL model (software, hardware, environment, and liveware). The results reveal that student pilots lack confidence with respect to their knowledge during flights; moreover, they fail to recognize the importance of maintaining relationships among supporting staff such as air traffic controllers, mechanics, and others involved in the flight process. The findings suggest that to meet an increased demand for pilots, newly approved training centers are needed, centers which will foster awareness of interaction between human factors and other aspect of aviation safety; to support this, there should be more standardization of curricula.

Suggested Citation

  • Hong, Seock-Jin & Lee, Kang-Seok & Seol, Eun-Suk & Young, Seth, 2016. "Safety perceptions of training pilots based on training institution and experience," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 213-221.
    • Handle: RePEc:eee:jaitra:v:55:y:2016:i:c:p:213-221
    DOI: 10.1016/j.jairtraman.2016.05.010
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    References listed on IDEAS

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    1. Raghavan, Sunder & Rhoades, Dawna L., 2005. "Revisiting the relationship between profitability and air carrier safety in the US airline industry," Journal of Air Transport Management, Elsevier, vol. 11(4), pages 283-290.
    2. McFadden, K. L., 1996. "Comparing pilot-error accident rates of male and female airline pilots," Omega, Elsevier, vol. 24(4), pages 443-450, August.
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    Cited by:

    1. Hong, Seock-Jin & Savoie, Michael & Joiner, Steve & Kincaid, Timothy, 2022. "Analysis of airline employees’ perceptions of corporate preparedness for COVID-19 disruptions to airline operations," Transport Policy, Elsevier, vol. 119(C), pages 45-55.
    2. Wandelt, Sebastian & Sun, Xiaoqian & Zhang, Anming, 2023. "AI-driven assistants for education and research? A case study on ChatGPT for air transport management," Journal of Air Transport Management, Elsevier, vol. 113(C).
    3. Li, Max Z. & Ryerson, Megan S., 2019. "Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 111-130.

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