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.
Tengfei SHAO
Waseda University
Yuya IEIRI
Waseda University
Reiko HISHIYAMA
Waseda University
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Tengfei SHAO, Yuya IEIRI, Reiko HISHIYAMA, "Discovering Multiple Clusters of Sightseeing Spots to Improve Tourist Satisfaction Using Network Motifs" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 10, pp. 1640-1650, October 2021, doi: 10.1587/transinf.2020EDP7258.
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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDP7258/_p
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@ARTICLE{e104-d_10_1640,
author={Tengfei SHAO, Yuya IEIRI, Reiko HISHIYAMA, },
journal={IEICE TRANSACTIONS on Information},
title={Discovering Multiple Clusters of Sightseeing Spots to Improve Tourist Satisfaction Using Network Motifs},
year={2021},
volume={E104-D},
number={10},
pages={1640-1650},
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.},
keywords={},
doi={10.1587/transinf.2020EDP7258},
ISSN={1745-1361},
month={October},}
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TY - JOUR
TI - Discovering Multiple Clusters of Sightseeing Spots to Improve Tourist Satisfaction Using Network Motifs
T2 - IEICE TRANSACTIONS on Information
SP - 1640
EP - 1650
AU - Tengfei SHAO
AU - Yuya IEIRI
AU - Reiko HISHIYAMA
PY - 2021
DO - 10.1587/transinf.2020EDP7258
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2021
AB - 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.
ER -