Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/72269
Title: CAST dynamic modeling of competitive tourism destinations: Gran Canaria and its Nordic markets
Authors: Moreno-Díaz, R. 
Rodríguez Rodríguez, Abraham 
UNESCO Clasification: 531290 Economía sectorial: turismo
1203 Ciencia de los ordenadores
Keywords: Cast
Competition
Dynamic systems
Gran Canaria
Modelling
Tourism analysis
Tourism forecast
Issue Date: 2020
Journal: Lecture Notes in Computer Science 
Conference: 17th International Conference on Computer Aided Systems Theory, EUROCAST 2019 
Abstract: In this paper we consider tourism data as influenced by a number of economic and political factors expressed in a set of parameters within a classical, but retouched, CAST model: tourism is a complex reality that needs a not-so-simple approach. Starting on a general scheme consisting of two destinations that feed upon a market of total population P, we proceed by systematically studying its properties and various theoretical cases according to classical systems theory. At every step, real touristic correlates are explained and results compared with data from the evolving touristic situation of a specific destination, namely, Gran Canaria, and its tourism flow coming from its main northern Europe markets: Norway, Sweden, Finland and Denmark.
URI: http://hdl.handle.net/10553/72269
ISBN: 978-3-030-45095-3
ISSN: 0302-9743
DOI: 10.1007/978-3-030-45096-0_53
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [ISSN 0302-9743], v. 12014 LNCS, p. 434-441, (Enero 2020)
Appears in Collections:Actas de congresos
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