Skip to main content

Risk Analysis of Human Factors in Aircraft Tail Strike During Landing: A Study Based on QAR Data

  • Conference paper
  • First Online:
Engineering Psychology and Cognitive Ergonomics (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14018))

Included in the following conference series:

  • 688 Accesses

Abstract

Aircraft tail strike is an unsafe event that usually occurs during takeoff, landing, and go-around. The majority of related studies only focus on incident investigation reports for analyzing causation, while few examine the risk of human factors in combination with QAR data. The purpose of this study is to investigate the risk of human factors in landing tail-strike. Based on 39 incident investigation reports and expert evaluations, the most influential factor in tail strikes during landing was determined. The QAR data of 291,000 flight sectors of an airline was then used to extract and analyze the samples related to influential factors. The results showed that improper pitch attitude always leads to tail strikes during landing. The large pitch angle in landing was classified into three types including continuously incremental pitch angle value, consistently high pitch angle value, and unstable pitch angle value. Roughly manipulating the stick before touchdown and continuously over-manipulating the stick after grounding contributes to the increased pitch angle after grounding, while the causes of bounced landing are belatedly setting the spoiler and intensely operating the stick before touchdown. These findings are expected to help airlines to identify and reduce the human risk from aircraft tail strikes and improve the efficiency of flight training.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Wang, L., Yang, X., Gao, S.: Prediction of the incidence of tail striking based on time series model. Saf. Environ. Eng. 27(02), 216–220 (2020). (in Chinese)

    Google Scholar 

  2. Wang, L., Yang, X.: Risk prediction of tail strike during landing based on Monte Carlo method. J. Saf. Sci. Technol. 15(02), 45–50 (2019). (in Chinese)

    Google Scholar 

  3. Sun, R., Yang, Y.: Risk prediction of aircraft tail strike events during take-off phase. Saf. Environ. Eng. 23(02), 153–156 (2016). (in Chinese)

    Google Scholar 

  4. Chan, P.W.: An event of tail strike of an aircraft due to terrain-induced wind shear at the Hong Kong International Airport. Meteorol. Appl. 19(03), 325–333 (2021)

    Article  Google Scholar 

  5. Guo, H., Chen, Z.: How to prevent the aircraft of type A320 from happening tail strike. J. China Civil Aviat. Flying Coll. (03), 19–31 (2001). (in Chinese)

    Google Scholar 

  6. Yang, X., Wang, L.: Analysis of civil aircraft tail striking event based on pilot model. Flight Dyn. 40(05), 89–94 (2022). (in Chinese)

    Google Scholar 

  7. Wang, X., Yu, L., Zhao, X.: Discover the tail strike risk during take-off of an airline based on QAR big data. In: 2020 IEEE 3rd International Conference of Safe Production and Informatization (IICSPI), Chongqing, China, pp. 553–556 (2020)

    Google Scholar 

  8. Chen, Y., Li, J., Sun, H.: Tail strike risk prediction of A320 during takeoff. In: Proceedings of 2019 International Conference on Aviation Safety and Information Technology (ICASIT 2019), pp. 31–34. Clausius Scientific Press (2019)

    Google Scholar 

  9. Yang, X.: Bow-tie model-based causes analysis of civil aircraft tail strike incidents. Technol. Innov. Appl. 12(03), 21–23 (2022). (in Chinese)

    Google Scholar 

  10. Liu, L.: Application of QAR data in china civil aviation. China Comput. Commun. 407(13), 153–154 (2018). (in Chinese)

    Google Scholar 

  11. Airbus: A Statistical Analysis of Commercial Aviation Accidents, worldwide operations, 1958–2020. Airbus Commercial Airplanes, France (2020)

    Google Scholar 

  12. Airbus: Flight Operations Briefing Notes Landing Techniques Preventing Tail strike at Landing. Airbus Customer Services: FLT_OPS – LAND – SEQ08– REV01 – SEP, France (2007)

    Google Scholar 

Download references

Acknowledgments

The authors would like to appreciate the support of the National Natural Science Foundation of China (grant no. 32071063).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lei Wang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhang, N., Wang, L., An, J., Qi, X. (2023). Risk Analysis of Human Factors in Aircraft Tail Strike During Landing: A Study Based on QAR Data. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. HCII 2023. Lecture Notes in Computer Science(), vol 14018. Springer, Cham. https://doi.org/10.1007/978-3-031-35389-5_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-35389-5_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35388-8

  • Online ISBN: 978-3-031-35389-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics