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Published in:
2011 | OriginalPaper | Chapter
Agent-Based Simulation System for Supporting Sustainable Tourism Planning
Authors : Dingding Chao, Kazuo Furuta, Taro Kanno
Published in: New Frontiers in Artificial Intelligence
Publisher: Springer Berlin Heidelberg
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The expanding tourism market, in particular of East Asia, has drawn great interests and has raised a series of significant issues for researchers and planners in sustainable development. Unsustainable tourism development caused problems such as loss of natural resources, conflicts between tourists and local residents, and so on. This research intends to understand the development process of Recreational Business Districts (RBDs) in tourism areas and to provide a framework for supporting sustainable tourism development by analyzing interactions between tourists and RBD. An Agent-Based Simulation (ABS) combined with Geographic Information System (GIS) provides planning supports to tourism bureaus and policy makers to help them assess possible future development plans in tourism under certain scenarios.