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Utilising Crowd Information of Tourist Spots in an Interactive Tour Recommender System

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Information and Communication Technologies in Tourism 2019

Abstract

Although the congestion of tourist spots has a huge effect on tourist experiences, few studies have discussed crowd information in the research field of recommender systems for tour planning. This study developed a recommender system that utilises crowd information interactively to support tour planning. The study created a bar graph about relative crowdedness in a day based on the idea that the measures required for a crowd vary depending on each tourist. This research conducted user experiments to examine how tourists are conscious of crowds. The proposed system can provide alternative plans in 70% of cases when tourists wish to visit a spot when it is not crowded. Furthermore, the results imply the importance of focusing on differences in tourists with regard to a sightseeing spot. The sightseeing experiences of tourists may be enhanced by conducting expectation management for sightseeing using ICT.

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Acknowledgements

The authors are grateful to Fujitsu Laboratories Ltd. for assistance with the experiment.

Author information

Authors and Affiliations

  1. Research into Artifacts, Center for Engineering (RACE), The University of Tokyo, Tokyo, Japan

    Takashi Aoike, Bach Ho, Tatsunori Hara & Jun Ota

  2. Department of Tourism Science, Graduate School of Urban Environmental Sciences, Tokyo Metropolitan University, Tokyo, Japan

    Yohei Kurata

Authors
  1. Takashi Aoike
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  2. Bach Ho
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  3. Tatsunori Hara
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  4. Jun Ota
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  5. Yohei Kurata
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Corresponding author

Correspondence to Takashi Aoike .

Editor information

Editors and Affiliations

  1. Business School, University of Eastern Finland, Joensuu, Finland

    Juho Pesonen

  2. Faculty of Informatics, TU Wien, Vienna, Austria

    Julia Neidhardt

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Aoike, T., Ho, B., Hara, T., Ota, J., Kurata, Y. (2019). Utilising Crowd Information of Tourist Spots in an Interactive Tour Recommender System. In: Pesonen, J., Neidhardt, J. (eds) Information and Communication Technologies in Tourism 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-05940-8_3

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