Hybrid MAS GIS Mediterranean backcountry tourism economy modeling methodology

Dominique Urbani () and Marielle Delhom ()
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Dominique Urbani: SPE - Laboratoire « Sciences pour l’Environnement » (UMR CNRS 6134 SPE) - CNRS - Centre National de la Recherche Scientifique - Università di Corsica Pasquale Paoli [Université de Corse Pascal Paoli]
Marielle Delhom: SPE - Laboratoire « Sciences pour l’Environnement » (UMR CNRS 6134 SPE) - CNRS - Centre National de la Recherche Scientifique - Università di Corsica Pasquale Paoli [Université de Corse Pascal Paoli]

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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.

Keywords: Corsica; Distributed artificial intelligence; multi-agent system; model; simulation; DSS; GIS; MAS; geographic information systems; environmental system; tourism; decision support system; Mediterranean; Corsica. (search for similar items in EconPapers)
Date: 2009-03-02
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Published in Simutools '09, 2nd International Conference on Simulation Tools and Techniques, Mar 2009, Roma, Italy. pp.1--8, ⟨10.4108/ICST.SIMUTOOLS2009.5607⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00563796

DOI: 10.4108/ICST.SIMUTOOLS2009.5607

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