The User Costs of Air Travel Delay Variability

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

We derive the expected user costs of U.S. domestic air travel delay variability taking into account scheduling behavior of travelers. Travelers do not only consider mean arrival delays but also face scheduling costs because they arrive too early or too late at their destination. The model allows travelers to anticipate arrival delay variability by choosing an earlier flight. We show that the expected user costs of U.S. air traffic delays are almost doubled if expected schedule delay of travelers is accounted for, whereas the benefits of improvements in mean delay are underestimated by 16% if arrival delay variability is ignored.
Original languageEnglish
Pages (from-to)120-131
JournalTransportation Science
Volume50
Issue number1
Early online date3 Oct 2014
DOIs
Publication statusPublished - 2016

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Cite this

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title = "The User Costs of Air Travel Delay Variability",
abstract = "We derive the expected user costs of U.S. domestic air travel delay variability taking into account scheduling behavior of travelers. Travelers do not only consider mean arrival delays but also face scheduling costs because they arrive too early or too late at their destination. The model allows travelers to anticipate arrival delay variability by choosing an earlier flight. We show that the expected user costs of U.S. air traffic delays are almost doubled if expected schedule delay of travelers is accounted for, whereas the benefits of improvements in mean delay are underestimated by 16{\%} if arrival delay variability is ignored.",
author = "P.R. Koster and E. Pels and E.T. Verhoef",
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The User Costs of Air Travel Delay Variability. / Koster, P.R.; Pels, E.; Verhoef, E.T.

In: Transportation Science, Vol. 50, No. 1, 2016, p. 120-131.

Research output: Contribution to JournalArticleAcademicpeer-review

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AB - We derive the expected user costs of U.S. domestic air travel delay variability taking into account scheduling behavior of travelers. Travelers do not only consider mean arrival delays but also face scheduling costs because they arrive too early or too late at their destination. The model allows travelers to anticipate arrival delay variability by choosing an earlier flight. We show that the expected user costs of U.S. air traffic delays are almost doubled if expected schedule delay of travelers is accounted for, whereas the benefits of improvements in mean delay are underestimated by 16% if arrival delay variability is ignored.

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