[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/oec/itfaab/2017-28-en.html
   My bibliography  Save this paper

Alternative Solutions to Airport Saturation: Simulation Models applied to congested airports

Author

Listed:
  • Alfonso Herrera García

    (Instituto Mexicano del Transporte)

Abstract
This paper explores several methods for coping with excess demand at airports through applying simulation modeling that focusses on how to use the existing airport infrastructure more efficiently. The introduction presents an overview of the importance of solving the airport saturation problem and sets out several approaches to solutions, which are divided into four distinct groups, or options. The fourth option applies operational practices and/or new technology to improve the airport procedures, including computer modeling and simulation. The document presents the application of simulation models to the capacity issues at the Mexico City Airport to demonstrate how to potentially alleviate congestion. Examples include redistribution of takeoffs and landings to increase runway capacity; reduction of air traffic movements through allowing operations of aircraft with greater capacity; deployment of new technologies to increase runway capacity; and by means of new operational procedures, changing the aircraft waiting sequence to reduce delays.

Suggested Citation

  • Alfonso Herrera García, 2017. "Alternative Solutions to Airport Saturation: Simulation Models applied to congested airports," International Transport Forum Discussion Papers 2017/28, OECD Publishing.
    • Handle: RePEc:oec:itfaab:2017/28-en
    DOI: 10.1787/ea37ec2b-en
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/ea37ec2b-en
    Download Restriction: no
    File URL: https://libkey.io/10.1787/ea37ec2b-en?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
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:oec:itfaab:2017/28-en. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/itoecfr.html .

    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.