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Hybrid MAS GIS Mediterranean backcountry tourism economy modeling methodology

Author

Listed:
  • Dominique Urbani

    (SPE - Sciences pour l'environnement - UPP - Université Pascal Paoli - CNRS - Centre National de la Recherche Scientifique)

  • Marielle Delhom

    (SPE - Sciences pour l'environnement - UPP - Université Pascal Paoli - CNRS - Centre National de la Recherche Scientifique)

Abstract

Submitted to the combination of the sun immigration pressure and the decline of their traditional economy, the Mediterranean islands are in a paradoxical position. Indeed, while the populations on the shores are growing, the countryside is endangered involving the desertification. In this paper we shall present a methodology to build a distributed artificial intelligence based model dedicated to the countryside economy and its interactions with the growing touristic coastal areas through the flow of tourists. Organizing the economic system into a hierarchy, following a multi-agent approach, we build a generic model of each system's stakeholders from our observations. We propose a methodology to model the exchanges between the countryside's visitors and the local economy's players. Using a geographic information system, we explicit how to take advantage of the spatiotemporal ground data to fit the simulations to the specificities of each targeted site. Finally we present a first application on a Corsican case.

Suggested Citation

  • Dominique Urbani & Marielle Delhom, 2009. "Hybrid MAS GIS Mediterranean backcountry tourism economy modeling methodology," Post-Print hal-00563796, HAL.
  • Handle: RePEc:hal:journl:hal-00563796
    DOI: 10.4108/ICST.SIMUTOOLS2009.5607
    as

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