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Travel Demand Prediction in Tangshan City of China Based on Rough Set

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Information Computing and Applications (ICICA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7030))

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Abstract

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.

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Author information

Authors and Affiliations

  1. Department of academic Affairs, Hebei United University (Hebei Institute of Technology), China

    Juan Li

  2. Hebei United University, No. 46 Xinhua West Road, Tangshan, 063009, China

    Li Feng & Guanchen Zhou

Authors
  1. Juan Li
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  2. Li Feng
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  3. Guanchen Zhou
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Editor information

Editors and Affiliations

  1. College of Science, Hebei United University, Xinhua West Road 46, 063000, Tangshan, Hebei, China

    Baoxiang Liu

  2. School of Computer Science and Information Engineering, Zhejiang Gongshang University, Xueheng Street 18, 310018, Hangzhou, China

    Chunlai Chai

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© 2011 Springer-Verlag Berlin Heidelberg

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Li, J., Feng, L., Zhou, G. (2011). Travel Demand Prediction in Tangshan City of China Based on Rough Set. In: Liu, B., Chai, C. (eds) Information Computing and Applications. ICICA 2011. Lecture Notes in Computer Science, vol 7030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25255-6_56

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  • DOI: https://doi.org/10.1007/978-3-642-25255-6_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25254-9

  • Online ISBN: 978-3-642-25255-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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