Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91194
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorBrueckner, JKen_US
dc.creatorCzerny, AIen_US
dc.creatorGaggero, AAen_US
dc.date.accessioned2021-09-23T03:33:03Z-
dc.date.available2021-09-23T03:33:03Z-
dc.identifier.issn1366-5545en_US
dc.identifier.urihttp://hdl.handle.net/10397/91194-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2021 The Author(s).en_US
dc.rightsPublished by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Jan K. Brueckner, Achim I. Czerny, Alberto A. Gaggero, Airline mitigation of propagated delays via schedule buffers: Theory and empirics, Transportation Research Part E: Logistics and Transportation Review, Volume 150, 2021, 102333, ISSN 1366-5545 is available at https://doi.org/10.1016/j.tre.2021.102333en_US
dc.subjectAirline schedulingen_US
dc.subjectDelay propagationen_US
dc.subjectFlight bufferen_US
dc.subjectGround bufferen_US
dc.titleAirline mitigation of propagated delays via schedule buffers : theory and empiricsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume150en_US
dc.identifier.doi10.1016/j.tre.2021.102333en_US
dcterms.abstractThis paper presents an extensive theoretical and empirical analysis of the choice of schedule buffers by airlines. With airline delays a continuing problem around the world, such an undertaking is valuable, and its lessons extend to other passenger transportation sectors. One useful lesson from the theoretical analysis of a two-flight model is that the mitigation of delay propagation is done entirely by the ground buffer and the second flight's buffer. The first flight's buffer plays no role because the ground buffer is a perfect, while nondistorting, substitute. In addition, the apportionment of mitigation responsibility between the ground buffer and the second flight's buffer is shown to depend on the relationship between the costs of ground- and flight-buffer time. The empirical results show the connection between buffer magnitudes and a host of explanatory variables, including the variability of flight times, which simulations of the model identify as an important determining factor.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportation research. Part E, Logistics and transportation review, June 2021, v. 150, 102333en_US
dcterms.isPartOfTransportation research. Part E, Logistics and transportation reviewen_US
dcterms.issued2021-06-
dc.identifier.scopus2-s2.0-85110546392-
dc.identifier.eissn1878-5794en_US
dc.identifier.artn102333en_US
dc.description.validate202109 bchyen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera0858-n01-
dc.identifier.SubFormID2081-
dc.description.fundingSourceRGCen_US
dc.description.fundingTextPolyU 15504918en_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Brueckner_Airline_mitigation_propagated.pdf1.34 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

128
Last Week
0
Last month
Citations as of Apr 21, 2024

Downloads

41
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

25
Citations as of Apr 19, 2024

WEB OF SCIENCETM
Citations

22
Citations as of Apr 25, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.