YOU CAN COLLABORATE ANONYMOUSLY

If you have a smartphone you can take part in this study by installing the abovementioned app. Otherwise, or if you prefer, you will be given a GPS receiver.

Regardless of the chosen method, it must be stressed that the tourist-collaborator, when agreeing to participate in the study, will remain anonymous. When dumping the data to the Geographic Information System (GIS) the route will be displayed as a cloud of points located among thousands of points of other users. The idea is to obtain statistical, not individual results (this point must be clarified given the possible refusal to collaborate in the study due to the discomfort of “being followed”).

Regarding the Sensometer, we guarantee that the app does not use personal data or the camera of the device.

 

DATA USED EXCLUSIVELY FOR ACADEMIC PURPOSES

We guarantee that the data obtained will only be used for academic purposes.

They will be transferred to the GIS where they will be processed and undergo several spatial analysis techniques.

Then, thematic maps will be produced showing tourists’ mobility and the results will be interpreted.

 

BACKGROUND TO TOURISM MOBILITY STUDIES IN TARRAGONA

To date, spatiotemporal mobility studies have been carried out only with traditional GPS receivers.

In 2010, the Science and Technology Park for Tourism and Leisure (PCT) in Vila-seca, and the Dept. of Geography of the URV conducted two local studies of this kind:

  • Tracking visitors in Tarragona old town (2010).
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  • Tracking visitors in Port Aventura (2010). This is dealt with in the article: Russo, A., Clave, S. and Shoval, N. (2010) Advanced Visitor Tracking Analysis in Practice: Explorations in the PortAventura Theme Park and Insights for a Future Research Agenda, in U. Gretzel, R. Law and M. Fuchs (eds.) Information and Communication Technologies in Tourism 2010. Vienna and New York: Springer. pp. 159-170.

 

INTERNATIONAL RESEARCH REFERENCES (by year of publication):

Birenboim, A.; Anton,  S.; Russo, A. & Shoval, N. (2013). Temporal Activity Patterns of Theme Park VisitorsTourism Geographies: An International Journal of Tourism Space, Place and Environment, núm. 15 (4), 601-619.

Shoval, N. and Chhetri, P. (2013) GIS, GPS and mobile technology applications  in tourism, en Lew, A., Hall, C.M. and Williams, A. (eds.) The Wiley-Blackwell Companion to Tourism.

McKercher, B., Shoval, N., Ng. E. and Birenboim, A. (2012) Using GPS Data to  Compare First-Time and Repeat Visitors to Hong Kong, Tourism Geographies 14 (1): 147-161.

Shoval, N., McKercher, B., Ng. E. and Birenboim, A. (2011) Hotel Location and Tourist Activity in Cities, Annals of Tourism Research 38 (4): 1594-1612.

Shoval, N. and Isaacson, M. (2010) Tourist Mobility and Advanced Tracking Technologies. London and New York: Routledge.

Shoval, N. (2010) Monitoring and Managing Visitors Flows in Destinations Using aggregate GPS Data, en U. Gretzel, R. Law and M. Fuchs (eds.) Information and Communication Technologies in Tourism 2010. Vienna and New York: Springer. pp. 171-184.

Tchetchik, A., Fleischer, A. and Shoval, N. (2009) Segmentation of Visitors to a Heritage Site Using High Resolution Time-Space Data, Journal of Travel Research, 48 (2): 216-229.

McKercher, B. and Lau, G. (2009) Methodological Considerations when Mapping Tourist Movements in a Destination, Tourism Analysis, 14: 443-455.

Shoval, N. and Isaacson, M. (2007) Tracking Tourist in the Digital Age, Annals of Tourism Research, 34 (1): 141-159.

Asakura, Y. and Iryo, T. (2007) Analysis of tourist behavior based on the tracking data collected using a mobile communication instrument, Transportation Research Part A (41): 684–690.