Skip to main content

Potential-of-Interest Maps for Mobile Tourist Information Services

  • Conference paper
Information and Communication Technologies in Tourism 2012
  • 2263 Accesses

Abstract

To prevent tourists from being overwhelmed by a flood of tourist information, this paper proposes an alternative approach to tourist information services, namely potential-of-interest maps. Potential-of-interest maps visualize the sightseeing potential of each place in a tourist area, which is estimated from data about locations where previous visitors have found something impressive. Such maps provide visual aids for tourists and will save their effort at decision making. In this paper, we first compare five possible approaches for obtaining data about locations where previous visitors have been impressed, among which the use of photo geo-tags is concluded the most promising. We then construct an example of potential-ofinterest maps making use of Flickr’s photo data. Finally, we develop a prototype of a mobile tourist information tool which features a potential-of-interest map. In our user test, nine of twelve test users show an intention to use this tool again at other destinations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Chenoweth, R. (1984). Visitor-Employed Photography: A Potential Tool for Landscape Architecture. Landscape Journal 3(2): 136–143.

    Google Scholar 

  • Girardin, F., Fiore, F. D., Blat, J. & Ratti, C. (2007). Understanding of tourist dynamics from explicitly disclosed location information. In G. Gartner, W. Cartwright and M. Peterson (Eds.), 4th International Symposium on Location Based Service and Telecartography.

    Google Scholar 

  • Kurashima, T., Tezuka, T. & Tanaka, K. (2005). Blog Map of Experiences: Extracting and Geographically Mapping Visitor Experiences from Urban Blogs. In A. Ngu, M. Kitsuregawa, E. Neuhold, J. Chung and Q. Sheng (Eds.), 6th International Conference on Web Information Systems Engineering, Lecture Notes in Computer Science 3806.

    Google Scholar 

  • Hollenstein, L. & Purves, R. (2010). Exploring Place through User-Generated Content: Using Flickr Tags to Describe City Cores. Journal of Spatial Information Science 1: 21–48.

    Google Scholar 

  • Kurata, Y. (2011). CT-Planner2: More Flexible and Interactive Assistance for Day Tour Planning. In R. Law, M. Fuchs, and F. Ricci (Eds.), ENTER 2011, Information and Communication Technologies in Tourism.

    Google Scholar 

  • Parzen E. (1962). On estimation of a probability density function and mode. Annals of Mathematical Statistics 33: 1065–1076.

    Article  Google Scholar 

  • Ricci, F., Arslan, B., Mirzadeh, N. & Venturini, A. (2002). ITR: A Case-Based Travel Advisory System. In S. Craw and A. Preece (Eds.), 6th European Conference on Advances in Case-Based Reasoning, Lecture Notes in Computer Science 2416.

    Google Scholar 

  • Iacovou, N., Suchak, M., Bergstorm, P. & Riedl, J. (1994). GroupLens: An Open Architecture for Collaborative Filtering of Netnews. In Conference on Computer Supported Cooperative Work.

    Google Scholar 

  • Zanker, M., Jessenitschnig, M. & Fuchs, M. (2010). Automated Semantic Annotations of Tourism Resrources based on Geospatial Data. Information Technology & Tourism 11: 341–354.

    Article  Google Scholar 

  • Zheng, Y., Li, Y., Zha, Z. & Chua, T. (2011). Mining Travel Patterns from GPS-Tagged Photos. In K. Lee, W. Tsai, H. Liao, T. Chen, J. Hsieh, and C. Tseng (Eds.), Advances in Multimedia Modeling, Lecture Notes in Computer Science 6523.

    Google Scholar 

  • Zipf, A. & Malaka, R. (2001). Developing Location Based Services for Tourism—The Service Providers View. In ENTER 2001.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag/Wien

About this paper

Cite this paper

Kurata, Y. (2012). Potential-of-Interest Maps for Mobile Tourist Information Services. In: Fuchs, M., Ricci, F., Cantoni, L. (eds) Information and Communication Technologies in Tourism 2012. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1142-0_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-7091-1142-0_21

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-7091-1141-3

  • Online ISBN: 978-3-7091-1142-0

Publish with us

Policies and ethics