Research Article
Hybrid MAS GIS Mediterranean backcountry tourism economy modeling methodology
@INPROCEEDINGS{10.4108/ICST.SIMUTOOLS2009.5607, author={Dominique Urbani and Marielle Delhom}, title={Hybrid MAS GIS Mediterranean backcountry tourism economy modeling methodology}, proceedings={2nd International ICST Conference on Simulation Tools and Techniques}, publisher={ICST}, proceedings_a={SIMUTOOLS}, year={2010}, month={5}, keywords={Distributed artificial intelligence multi-agent system model simulation geographic information system environmental system tourism decision support system tourism Mediterranean Corsica.}, doi={10.4108/ICST.SIMUTOOLS2009.5607} }
- Dominique Urbani
Marielle Delhom
Year: 2010
Hybrid MAS GIS Mediterranean backcountry tourism economy modeling methodology
SIMUTOOLS
ICST
DOI: 10.4108/ICST.SIMUTOOLS2009.5607
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.