Show simple item record

dc.contributor.advisorPeter P. Belobaba.en_US
dc.contributor.authorLiotta, Nicholas James.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Civil and Environmental Engineering.en_US
dc.date.accessioned2019-12-05T18:04:44Z
dc.date.available2019-12-05T18:04:44Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/123123
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionThesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2019en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 131-132).en_US
dc.description.abstractThe development of the New Distribution Capability for airlines has raised interest within the airline industry in "continuous pricing", where fares offered to customers are not limited to a set of pre-determined price points. This thesis provides an overview of experiments on four revenue management (RM) methods proposed for the practical implementation of continuous pricing. Two of these methods, termed class-based RM for continuous pricing, utilize existing forecasting and seat protection optimization methods to determine what fares to offer. The other two methods, termed classless RM, calculate optimal fares based on the maximization of expected revenue contribution at a given point in time during the booking process. This thesis examines the performance of probabilistic bidprice and unbucketed dynamic programming methods for both the class-based and the classless methods for continuous pricing.en_US
dc.description.abstractThe continuous pricing methods are compared with traditional class-based methods in unrestricted fare structures using the Passenger Origin Destination Simulator. Compared to a baseline with six fare classes, when two competing airlines both implement class-based continuous pricing, revenues can increase by up to 1%, and, when both airlines implement classless pricing, they can gain up to 2% in revenue. When only one airline implements continuous pricing in a competitive setting, revenue gains of 10-13% are possible over the six-fare class baseline. These larger gains mostly come at the expense of the competitor, which loses revenue and bookings. For all cases, as the number of fare classes in the baseline increases, the revenue gains of continuous pricing are diminished and may even become revenue losses under certain conditions. The positive results of the continuous pricing methods are a result of the increased price granularity offered by continuous pricing.en_US
dc.description.abstractIt is this price granularity that causes most of the revenue gains when a competitor airline does not switch to continuous pricing. The price granularity effect also explains why increasing the number of fare classes with the traditional class-based RM methods can generate as much and sometimes more revenue than the continuous pricing methods.en_US
dc.description.statementofresponsibilityby Nicholas James Liotta.en_US
dc.format.extent132 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectCivil and Environmental Engineering.en_US
dc.titleAirline revenue management for continuous pricing : class-based and classless methodsen_US
dc.typeThesisen_US
dc.description.degreeS.M. in Transportationen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.identifier.oclc1128269448en_US
dc.description.collectionS.M.inTransportation Massachusetts Institute of Technology, Department of Civil and Environmental Engineeringen_US
dspace.imported2019-12-05T18:04:43Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentCivEngen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record