Show simple item record

dc.contributor.advisorAmedeo R. Odoni and Nancy Rose.en_US
dc.contributor.authorFan, Terence Pen_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2009-02-17T17:25:30Z
dc.date.available2009-02-17T17:25:30Z
dc.date.copyright2004en_US
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/44611
dc.descriptionThesis (Ph. D. in Transportation Systems and Policy Analysis)--Massachusetts Institute of Technology, Engineering Systems Division, 2004.en_US
dc.descriptionIncludes bibliographical references (p. 119-123).en_US
dc.description.abstractThe ever-increasing demand for access to the world's major commercial airports combined with capacity constraints at many of these airports have led to increasing air traffic congestion. In particular, the scarcity of airside (take-off and landing) capacity at these airports has not been appropriately priced, leading to excessive demand as in the Tragedy of the Commons. Congestion pricing, as a classical economic approach to the efficient allocation of constrained transportation infrastructure capacity, has a long history of theoretical development. However, its application in the airport setting must deal with a set of important differences from the classical urban roadway setting. These differences have eluded the attention of researchers until very recently. They stem from the following set of complications: i) the peak and off-peak periods at congested airports are often less distinguishable than in the urban transport context; ii) airlines are a dominant intermediary between an airport's capacity and passengers as the end-users of that capacity; and iii) airlines operate groups of flights, as distinct from the atomistic behaviour of individual commuters. To address these complications, an analytical model is developed to explore the impact of congestion pricing at airports and understand potential airline responses under a range of assumptions about the market's structure. Through a set of numerical experiments, carried out with the help of a probabilistic queuing model, we compare the economic benefits resulting from adopting fine versus coarse congestion tolls for the cases of markets with symmetric and asymmetric carriers. Given sustained demand for access to an airport and reasonably elastic responses in terms of frequency adjustments,en_US
dc.description.abstract(cont.) the benefits to carriers of instituting congestion pricing generally exceed the amount of tolls collected. While a system of fine or graduated tolls is suited for all airports, systems of coarse or uniform tolls, which can be implemented more easily, are applicable only at airports with fairly symmetric carriers that hold approximately equal frequency shares. In addition to congestion pricing, slot lease auctions can also be an effective means for promoting an economically efficient use of scarce airport capacity. In practice, the impact of slot lease auctions is similar to that of coarse tolling. Slot auctions are therefore applicable, in pure form, at airports with symmetric carriers. At these airports, a market-based demand management policy can comprise both congestion pricing and slot lease auctions. With respect to implementation, simultaneously ascending auctions recently used in the context of allocating electromagnetic spectra can be appropriately adopted to airports. A lump-sum subsidy can be used to promote specific socially desirable goals in the allocation of scarce airport capacity. Several airport authorities around the world, currently using purely administrative or hybrid forms of demand management, have developed sophisticated techniques for defining and managing their constrained airport capacity. Some of these techniques can be useful in developing market-based demand management policies. As an interesting case study, the experience of New York's LaGuardia Airport (LGA) ...en_US
dc.description.statementofresponsibilityby Terence Ping-Ching Fan.en_US
dc.format.extent123 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering Systems Division.en_US
dc.titleMarket-based airport demand management : theory, model and applicationsen_US
dc.typeThesisen_US
dc.description.degreePh.D.in Transportation Systems and Policy Analysisen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc60385393en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record