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Procedia Computer Science
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Location-price Game-theoretic Model and Applications in Transportation Networks

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2014 English Publisher:Elsevier BVJournal:Procedia Computer Science, volume 31, pages 754-757 (issn: 1877-0509, Copyright policy )
Authors: Hongwei Gao; Jin-Song Hu; Vladimir V. Mazalov; Anna Shchiptsova; Li Song; Julia S. Tokareva;

doi: 10.1016/j.procs.2014.05.324

Location-price Game-theoretic Model and Applications in Transportation Networks

Abstract

AbstractWe consider location-then-price game as a two stage game of n players on the graph. Logit analysis is used to model demand distribution between competitors. The use of multinomial logit model allows to compute shares in case of n players and proceed with studying price equilibrium. Price and location equilibria are constructed using best response dynamics. We apply proposed model to Russian and Chinese airline markets and find location and price equilibria for competitive airlines.

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Keywords

logit model, airline market ;, location-price game, equilibrium

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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