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Structuring risk factors related to airline cabin safety

Author

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  • Hsu, Yueh-Ling
  • Liu, Te-Chang

Abstract

This study explores cabin safety by mapping it as the second-order factor into a theoretical framework based on the 5-M model. A questionnaire, together with structural equation modeling is used to verify the proposed model. The results suggest that cabin safety can be measured by a systemic factor set – media, man, machine, management and mission. A causal relationship between 5-M factors and 19 variables is also found; mission factor together with, hardware-design and cabin safety training, have the greatest effects on cabin safety.

Suggested Citation

  • Hsu, Yueh-Ling & Liu, Te-Chang, 2012. "Structuring risk factors related to airline cabin safety," Journal of Air Transport Management, Elsevier, vol. 20(C), pages 54-56.
    • Handle: RePEc:eee:jaitra:v:20:y:2012:i:c:p:54-56
    DOI: 10.1016/j.jairtraman.2011.12.009
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    Cited by:

    1. Jenatabadi, Hashem Salarzadeh & Ismail, Noor Azina, 2014. "Application of structural equation modelling for estimating airline performance," Journal of Air Transport Management, Elsevier, vol. 40(C), pages 25-33.
    2. Zhong, Z.W. & Varun, Dhir & Lin, Y.J., 2017. "Studies for air traffic management R&D in the ASEAN-region context," Journal of Air Transport Management, Elsevier, vol. 64(PA), pages 15-20.
    3. Haixiang Lin & Tengfei Yuan & Wansheng Bai & Zhengxiang Zhao & Ran Lu & Xinqin Li & Qi Lin, 2022. "Railway Signaling Safety Factors Quantitative Analysis Using an Improved 5M Model," Sustainability, MDPI, vol. 14(10), pages 1-15, May.

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