人工知能学会第二種研究会資料
Online ISSN : 2436-5556
遷移ネットワークを用いた大規模観光地の旅行者行動分析
笠原 秀一森 幹彦椋木 雅之美濃 導彦
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研究報告書・技術報告書 フリー

2013 年 2013 巻 SAI-017 号 p. 03-

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There is social needs to know the activity type of tourists who visit to the large tourism destinations such as Kyoto. For destination management organizations (DMO), tourists classification of activity type is useful for optimal arrangement of visitor information boards, development of scenic routes, evacuation guidance and congestion mitigation. Also, DMOs can compare own itself to othter destinations by using the activity types. However, tourists classification based on the tourists activities is not studied enoughly. Therefore, we should investigate the factor of tourists activities to make a hypothesis of type classification. In this paper, we analyse the tourists' activities in large tourism destination area by transition network generated from the tourists GPS trajectories.

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