Discovering multiple clusters of sightseeing spots to improve tourist satisfaction using network motifs

Tengfei SHAO*, Yuya IEIRI, Reiko HISHIYAMA

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)1640-1650
Number of pages11
JournalIEICE Transactions on Information and Systems
VolumeE104D
Issue number10
DOIs
Publication statusPublished - 2021

Keywords

  • Improvement of tourist satisfaction
  • Information processing
  • Multiple clusters of sightseeing spots
  • Network

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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