Title

Detecting periodic patterns of arrival delay

Authors

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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