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EconStor
Research . 2008
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High-speed Rail & air transport competition

Authors: Nicole Adler; Chris Nash; Eric Pels;

High-speed Rail & air transport competition

Abstract

This research develops a methodology to assess infrastructure investments and their effects on transport equilibria taking into account competition between multiple privatized transport operator types. The operators, including high-speed rail, hub-and-spoke legacy airlines and regional low-cost carriers, maximize best response functions via prices, frequency and train/plane sizes, given infrastructure provision, cost functions and environmental charges. The methodology is subsequently applied to all 27 European Union countries, specifically analyzing four of the prioritized Trans-European networks. The general conclusions suggest that the European Union, if interested in maximizing overall social welfare, should encourage the development of the high-speed rail network across Europe. © 2010 Elsevier Ltd.

Country
Netherlands
Keywords

R40, Spieltheorie, Hochgeschwindigkeitsverkehr, SDG 17 - Partnerships for the Goals, infrastructure pricing, Luftverkehrsgesellschaft, L92, L93, Verkehrsträgerwettbewerb, Verkehrstarif, Innovation, airlines, ddc:330, Infrastrukturinvestition, Nash-Gleichgewicht, applied game theory, high-speed rail, networks, Netzregulierung, and Infrastructure, EU-Staaten, airlines, high-speed rail, networks, applied game theory, infrastructure pricing, SDG 9 - Industry, jel: jel:R40, jel: jel:L92, jel: jel:L93

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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!
0
Average
Average
Average