Detecting periodic patterns of arrival delay

    Authors

    M. Abdel-Aty; C. Lee; Y. Bai; X. Li;M. Michalak

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    J. Air Transp. Manag.

    Keywords

    flight delays; periodicity; frequency analysis; airport operations; POLYNOMIALS; MODEL; Transportation

    Abstract

    This study identifies the periodic patterns of arrival delay for non-stop domestic flights at the Orlando International Airport during 2002-2003. Cyclic variations in air travel demand and weather at the airport were observed and their consequent effects on flight delay were investigated. This study detected the frequencies of any regularly repeating delay patterns and then identified the factors associated with the detected frequencies of delay. These sequential tasks called the "two-stage approach" were performed using a mathematical frequency analysis and statistical analysis techniques. The results of the frequency analysis showed that arrival delay displayed daily, weekly and seasonal patterns of variation. The results of the statistical analysis showed that time of day, day of week, season, flight distance, precipitation at MCO and scheduled time intervals between successive flights were significantly correlated with arrival delay. (C) 2007 Elsevier Ltd. All rights reserved.

    Journal Title

    Journal of Air Transport Management

    Volume

    13

    Issue/Number

    6

    Publication Date

    1-1-2007

    Document Type

    Article

    Language

    English

    First Page

    355

    Last Page

    361

    WOS Identifier

    WOS:000250990200005

    ISSN

    0969-6997

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