Arbeitspapier

Alternative solutions to airport saturation: Simulation models applied to congested airports

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

Sprache
Englisch

Erschienen in
Series: International Transport Forum Discussion Paper ; No. 2017-28

Klassifikation
Wirtschaft
Thema
Flughafeninfrastruktur
Verkehrsaufkommen
Simulation

Ereignis
Geistige Schöpfung
(wer)
Herrera García, Alfonso
Ereignis
Veröffentlichung
(wer)
Organisation for Economic Co-operation and Development (OECD), International Transport Forum
(wo)
Paris
(wann)
2017

DOI
doi:10.1787/ea37ec2b-en
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Herrera García, Alfonso
  • Organisation for Economic Co-operation and Development (OECD), International Transport Forum

Entstanden

  • 2017

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