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GPS Log Mining Method for Tourism Activity Analysis

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Soft Computing as Transdisciplinary Science and Technology

Part of the book series: Advances in Soft Computing ((AINSC,volume 29))

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Abstract

Recently, tourism activity analysis has been required in order to construct effective tourism policy and strategy for personal tour which became the mainstream of Japan. In conventional tourism activity analysis, the information for analysis, i.e., tourism activity information, is collected on each tourist by using questionnaire, and then the analysis is carried out on the basis of it. However, it is difficult to realize effective tourism activity analysis in conventional method because the questionnaire-based information collection has difficulty in collecting accurate and detailed tourism activity information. In this paper, we propose a GPS log mining method in order to implement effective tourism activity analysis. GPS can automatically and continuously collect the position information where the GPS receiver exists. It is likely that an effective tourism activity analysis can be realized by extracting accurate tourism activity information from the information which is collected by GPS. We confirm the effectiveness of the proposed method through the experiments using the GPS log data collected from actual tourists in Hokkaido.

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References

  1. Development Bank of Japan, Hokkaido Branch (DBJ) (2002) “Future Development of Hokkaido Tourism,” DBJ Hokkaido Branch Report.

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  6. Nagao M., Kawamura H., Yamamoto M. and Ohuchi A. (2004) “ACQUISITION OF PERSONAL TOURISM ACTIVITY INFORMATION BASED ON GPS LOG MINING METHOD,” Proceedings of the Fifth Asia Pacific Industrial Engineering and Management Systems Conference 2004.

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© 2005 Springer-Verlag Berlin Heidelberg

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Nagao, M., Kawamura, H., Yamamoto, M., Ohuchi, A. (2005). GPS Log Mining Method for Tourism Activity Analysis. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_36

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  • DOI: https://doi.org/10.1007/3-540-32391-0_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25055-5

  • Online ISBN: 978-3-540-32391-4

  • eBook Packages: EngineeringEngineering (R0)

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