dc.contributor.advisor | Amedeo R. Odoni and Nancy Rose. | en_US |
dc.contributor.author | Fan, Terence P | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Engineering Systems Division. | en_US |
dc.date.accessioned | 2009-02-17T17:25:30Z | |
dc.date.available | 2009-02-17T17:25:30Z | |
dc.date.copyright | 2004 | en_US |
dc.date.issued | 2004 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/44611 | |
dc.description | Thesis (Ph. D. in Transportation Systems and Policy Analysis)--Massachusetts Institute of Technology, Engineering Systems Division, 2004. | en_US |
dc.description | Includes bibliographical references (p. 119-123). | en_US |
dc.description.abstract | The 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.statementofresponsibility | by Terence Ping-Ching Fan. | en_US |
dc.format.extent | 123 p. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | M.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.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
dc.subject | Engineering Systems Division. | en_US |
dc.title | Market-based airport demand management : theory, model and applications | en_US |
dc.type | Thesis | en_US |
dc.description.degree | Ph.D.in Transportation Systems and Policy Analysis | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Engineering Systems Division | |
dc.identifier.oclc | 60385393 | en_US |