Modeling flight delays by an intensity-based Hawkes process

Philip Hans Franses*, Carlijn Smeets

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Two key features of airline departure delays are that they cascade and that there can be exceptional peaks. We model these features using an intensity-based Hawkes process. Our application to all KLM departure delays at Amsterdam Schiphol airport in January 2015 shows that volatility in departure delays is endogenous. We correlate the key parameters of the estimated Hawkes process with daily weather conditions and find that these conditions amplify the self-exciting feature of departure delays.

Original languageEnglish
Pages (from-to)863-874
Number of pages12
JournalApplied Stochastic Models in Business and Industry
Volume40
Issue number4
DOIs
Publication statusE-pub ahead of print - 13 Feb 2024

Bibliographical note

Publisher Copyright:
© 2024 The Authors. Applied Stochastic Models in Business and Industry published by John Wiley & Sons Ltd.

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