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CAST Dynamic Modeling of Competitive Tourism Destinations: Gran Canaria and Its Nordic Markets

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Computer Aided Systems Theory – EUROCAST 2019 (EUROCAST 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12014))

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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.

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References

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Author information

Authors and Affiliations

  1. Instituto Universitario de Ciencias y Tecnologías Cibernéticas, ULPGC, Las Palmas, Spain

    R. Moreno-Diaz Jr. & A. Rodríguez-Rodríguez

Authors
  1. R. Moreno-Diaz Jr.
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  2. A. Rodríguez-Rodríguez
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Corresponding author

Correspondence to R. Moreno-Diaz Jr. .

Editor information

Editors and Affiliations

  1. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz

  2. Johannes Kepler University Linz, Linz, Austria

    Franz Pichler

  3. University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Alexis Quesada-Arencibia

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Moreno-Diaz, R., Rodríguez-Rodríguez, A. (2020). CAST Dynamic Modeling of Competitive Tourism Destinations: Gran Canaria and Its Nordic Markets. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2019. EUROCAST 2019. Lecture Notes in Computer Science(), vol 12014. Springer, Cham. https://doi.org/10.1007/978-3-030-45096-0_53

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  • DOI: https://doi.org/10.1007/978-3-030-45096-0_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45095-3

  • Online ISBN: 978-3-030-45096-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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