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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Travel Demand Prediction in Tangshan City of China Based on Rough Set
verfasst von : Juan Li, Li Feng, Guanchen Zhou
Erschienen in: Information Computing and Applications
Verlag: Springer Berlin Heidelberg
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Travel demand prediction plays a scientific guidance role in tourism industry planning and future development. In this paper, the rough set theory is applied to analyze and predict the tourism of Tangshan City in the future based on the sample data of the quantity of tourists of Tangshan City from 2001 to 2010 and the growth range of quantity of tourists was obtained. The result shows that the tourism market of Tangshan City has both a huge development potential and a bright development prospect.