Abstract
We introduce mobile positioning based data sources in tourism studies using the case study of tourism in Tartu, Estonia. Mobile positioning data is a promising source for tourism geography as it is one easiest and most cost effective sources for investigating the flows of tourists with relatively good spatial and temporal coverage. Mobile positioning data allows one to link the digital track of visitors with visited events and locations retrospectively. The data also has potential for the development of real-time monitoring tools for tourism planning and management, as it has been tested in Estonia with “Positium Tourism Barometer”. The biggest problem with positioning data is privacy and surveillance, and those issues needs to be addressed and discussed very carefully.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
Ahas, R., Aasa, A., Mark, Ü., Pae, T., & Kull, T. (2006). Seasonal tourism spaces in Estonia: case study with mobile positioning data. Tourism Management (published online in July 2006).
Ahas, R. Aasa, A., Roose, A., & Silm, S. (Submitted). Mobile positioning as a new data source and method for tourism surveys: an Estonian Case Study. Tourism Management.
Ahas, R. & Mark, Ü. (2005). Location based services — new challenges for planning and public administration? Futures, 37(6): 547–561.
Casino, V. J. D. & Hanna, S. P. (2000). Representations and identities in tourism map spaces. Progress in Human Geography, 24(1): 23–46.
201/1_20120020731en00370047.pdf [8. Sep 2006]
EMT (2006). EMT homepage www.emt.ee. [Aug. 12, 2006]
ESA (2006). Estonian Statistical Board homepage. http://www.stat.ee. Accommodation statistics. [May 11, 2006]
Hall, C. M., Page, S. (2006). The geography of tourism and recreation. Environment place and space. Routledge.
Kwan, M. P. (2000). Interactive Geovisualization of Activity-travel Patterns Using Three-dimensional Geographical Information Systems: Methodological Exploration with a Large Data Set. Transportation Research C, 8: 185–203.
Mountain, D. & Raper, J. (2001). Modelling human spatio-temporal behaviour: a challenge for location-based services. in Proc. of the 6th Internal. Conference on GeoComputation Eds (University of Queensland, Brisbane, Australia).
Positium (2006). Web-site of Positium ICT www.positium.ee [Sept. 5, 2006].
Ratti, C. (2005). Mobile Landscape-Graz in real time. Proceedings of 3rd Symposium on LBS & TeleCartography, Vienna University of Technology, 28–30. November 2005.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Wien
About this paper
Cite this paper
Ahas, R., Aasa, A., Silm, S., Tiru, M. (2007). Mobile Positioning Data in Tourism Studies and Monitoring: Case Study in Tartu, Estonia. In: Sigala, M., Mich, L., Murphy, J. (eds) Information and Communication Technologies in Tourism 2007. Springer, Vienna. https://doi.org/10.1007/978-3-211-69566-1_12
Download citation
DOI: https://doi.org/10.1007/978-3-211-69566-1_12
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-69564-7
Online ISBN: 978-3-211-69566-1