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Discovering Multiple Clusters of Sightseeing Spots to Improve Tourist Satisfaction Using Network Motifs

Tengfei SHAO, Yuya IEIRI, Reiko HISHIYAMA

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Summary :

Tourist satisfaction plays a very important role in the development of local community tourism. For the development of tourist destinations in local communities, it is important to measure, maintain, and improve tourist destination royalties over the medium to long term. It has been proven that improving tourist satisfaction is a major factor in improving tourist destination royalties. Therefore, to improve tourist satisfaction in local communities, we identified multiple clusters of sightseeing spots and determined that the satisfaction of tourists can be increased based on these clusters of sightseeing spots. Our discovery flow can be summarized as follows. First, we extracted tourism keywords from guidebooks on sightseeing spots. We then constructed a complex network of tourists and sightseeing spots based on the data collected from experiments conducted in Kyoto. Next, we added the corresponding tourism keywords to each sightseeing spot. Finally, by analyzing network motifs, we successfully discovered multiple clusters of sightseeing spots that could be used to improve tourist satisfaction.

Publication
IEICE TRANSACTIONS on Information Vol.E104-D No.10 pp.1640-1650
Publication Date
2021/10/01
Publicized
2021/07/09
Online ISSN
1745-1361
DOI
10.1587/transinf.2020EDP7258
Type of Manuscript
PAPER
Category
Office Information Systems, e-Business Modeling

Authors

Tengfei SHAO
  Waseda University
Yuya IEIRI
  Waseda University
Reiko HISHIYAMA
  Waseda University

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