Abstract
Recently, the interest of using agent-based model combined with GIS to perform simulations that seek solutions to problems in the study of tourism services and planning is expanding. However, few scientific studies or systematic methodologies in tourism research have been conducted to support the design and development of such simulations. This research intends to develop a general framework for agent-based simulations in tourism and present its possibility in practical tourism planning process. By developing an agent-based simulation combined with GIS under the protocol, planning supports to tourism bureaus and policy makers to help them assess different tourism policy scenarios and improve tourism services. © 2011 Springer-Verlag.
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Chao, D., Furuta, K., & Kanno, T. (2011). A framework for agent-based simulation in tourism planning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6763 LNCS, pp. 280–287). https://doi.org/10.1007/978-3-642-21616-9_31
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