IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v127y2014icp86-96.html
   My bibliography  Save this article

An analysis of flight Quick Access Recorder (QAR) data and its applications in preventing landing incidents

Author

Listed:
  • Wang, Lei
  • Wu, Changxu
  • Sun, Ruishan

Abstract

A long landing is one type of flight incident that will multiply the risk of a runway excursion. It occurs frequently but receives little attention in research due to difficulty in obtaining the real flight data. The aim of this paper is to discover key flight parameter features of long landing incidents by analyzing Quick Access Recorder (QAR) data and put forward prevention measures from the perspective of pilot operation at the same time. First, 73 flight performance parameter variables and 4 operation parameter variables were defined, covering major landing stages from 1500ft to touchdown. Then 128 cases of selected QAR data were divided into two groups according to the threshold of identifying normal and long landing. Second, each flight parameter variable of these 128 flights was compared between groups and then the logistic and linear regression models were developed respectively to further examine the links between touchdown distance and these flight parameter variables. Third, potential flight operation causing performance difference of long landing incidents was also analyzed. Finally results indicate that the period of 200ft to touchdown is the key stage of landing and flare is the most critical operation affecting touchdown distance. It is suggested that the pilot should inspect the ratio of descent rate and groundspeed carefully at the height of 50ft and pilot׳s faster and steady pulling up columns is probably helpful for an excellent flare and landing. The findings are expected to be applied into flight operation practice for further preventing long landing incidents and even the runway excursion accidents.

Suggested Citation

  • Wang, Lei & Wu, Changxu & Sun, Ruishan, 2014. "An analysis of flight Quick Access Recorder (QAR) data and its applications in preventing landing incidents," Reliability Engineering and System Safety, Elsevier, vol. 127(C), pages 86-96.
    • Handle: RePEc:eee:reensy:v:127:y:2014:i:c:p:86-96
    DOI: 10.1016/j.ress.2014.03.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832014000611
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2014.03.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kirkland, I. & Caves, R.E. & Hirst, M. & Pitfield, D.E., 2003. "The normalisation of aircraft overrun accident data," Journal of Air Transport Management, Elsevier, vol. 9(6), pages 333-341.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mark W Wiggins & Jaime Auton & Piers Bayl-Smith & Ann Carrigan, 2020. "Optimising the future of technology in organisations: A human factors perspective," Australian Journal of Management, Australian School of Business, vol. 45(3), pages 449-467, August.
    2. Jia-Qi, Liu & Yun-Wen, Feng & Da, Teng & Jun-Yu, Chen & Cheng, Lu, 2023. "Operational reliability evaluation and analysis framework of civil aircraft complex system based on intelligent extremum machine learning model," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    3. Guo, Kai & Ye, Zhisheng & Liu, Datong & Peng, Xiyuan, 2021. "UAV flight control sensing enhancement with a data-driven adaptive fusion model," Reliability Engineering and System Safety, Elsevier, vol. 213(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Francis, Graham & Humphreys, Ian & Fry, Jackie, 2005. "The nature and prevalence of the use of performance measurement techniques by airlines," Journal of Air Transport Management, Elsevier, vol. 11(4), pages 207-217.
    2. Trucco, Paolo & De Ambroggi, Massimiliano & Chiara Leva, Maria, 2015. "Topological risk mapping of runway overruns: A probabilistic approach," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 433-443.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:127:y:2014:i:c:p:86-96. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.