IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v43y2020i1p1-19.html
   My bibliography  Save this article

An objective model for collaborative flight scheduling in a single mega-hub network

Author

Listed:
  • Sufian Ikhmeis
  • Sanchoy Das

Abstract

Single mega-hub (SMH) airports are among the highest passenger volume airports in the world. Eight operational features that distinguish an SMH airport are identified, including collaborative flight scheduling between the airline and airport. This paper develops an objective function to direct collaborative flight scheduling. Three cost objectives are modeled, each of which focusses on a specific variable cost to the airport: passenger waiting time, passenger volume in the terminal, and ground activity imbalance. The scheduling objective is modeled as a function of (i) waiting time for each passenger, (ii) passenger count in the airport terminal, and (iii) the ground activity peak deviation from the balanced rate. Model application is demonstrated on the schedule of an airline operating 184 daily departures from a SMH. Results show the model can be used to reduce the airport’s variable costs. Rescheduling departure times for 6.5% of flights generated a 2.8% cost reduction.

Suggested Citation

  • Sufian Ikhmeis & Sanchoy Das, 2020. "An objective model for collaborative flight scheduling in a single mega-hub network," Transportation Planning and Technology, Taylor & Francis Journals, vol. 43(1), pages 1-19, January.
  • Handle: RePEc:taf:transp:v:43:y:2020:i:1:p:1-19
    DOI: 10.1080/03081060.2019.1701642
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081060.2019.1701642
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03081060.2019.1701642?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.

    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:transp:v:43:y:2020:i:1:p:1-19. 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/GTPT20 .

    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.