IDEAS home Printed from https://ideas.repec.org/a/taf/transr/v41y2021i4p499-528.html
   My bibliography  Save this article

On the relevance of data science for flight delay research: a systematic review

Author

Listed:
  • Leonardo Carvalho
  • Alice Sternberg
  • Leandro Maia Gonçalves
  • Ana Beatriz Cruz
  • Jorge A. Soares
  • Diego Brandão
  • Diego Carvalho
  • Eduardo Ogasawara

Abstract

Flight delays are a significant problem for society as they evenly impair airlines, transport companies, air traffic controllers, facility managers, and passengers. Studying prior flight data is an essential activity for every player involved in the air transportation system. Besides, developing accurate prediction models for flight delays is a crucial component of the decision-making process. Prescribing actions to solve on-going delays is an even challenging task due to the air transportation system complexity. In this regard, this paper presents a thorough literature review of data science techniques used for investigating flight delays. This work proposes a taxonomy and compiles the initiatives used to address the flight delay studies. It also offers a systematic literature review that describes the trends of the field and methods to analyse the applicability of newly proposed methods.

Suggested Citation

  • Leonardo Carvalho & Alice Sternberg & Leandro Maia Gonçalves & Ana Beatriz Cruz & Jorge A. Soares & Diego Brandão & Diego Carvalho & Eduardo Ogasawara, 2021. "On the relevance of data science for flight delay research: a systematic review," Transport Reviews, Taylor & Francis Journals, vol. 41(4), pages 499-528, July.
    • Handle: RePEc:taf:transr:v:41:y:2021:i:4:p:499-528
    DOI: 10.1080/01441647.2020.1861123
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01441647.2020.1861123
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/01441647.2020.1861123?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.

    Citations

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


    Cited by:

    1. Zheng, Hongfeng & Wang, Ziming & Zheng, Chuanpan & Wang, Yanjun & Fan, Xiaoliang & Cong, Wei & Hu, Minghua, 2024. "A graph multi-attention network for predicting airport delays," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 181(C).
    2. Li, Chi & Mao, Jianfeng & Li, Lingyi & Wu, Jingxuan & Zhang, Lianmin & Zhu, Jianyu & Pan, Zibin, 2024. "Flight delay propagation modeling: Data, Methods, and Future opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    3. Erdem, Furkan & Bilgiç, Taner, 2024. "Airline delay propagation: Estimation and modeling in daily operations," Journal of Air Transport Management, Elsevier, vol. 115(C).

    More about this item

    Statistics

    Access and download statistics

    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:taf:transr:v:41:y:2021:i:4:p:499-528. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TTRV20 .

    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.