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Chapter 7 Mobile Phone Tower Tracking

DOI: 10.23912/9781911635383-4564

ISBN: 9781911635383

Published: Nov 2020

Component type: chapter

Published in: Tracking Tourists

Parent DOI: 10.23912/9781911635383-4277



Tracking tourists using mobile phone data involves collating mobile phone call detail records (CDR), that can determine travel patterns of mobile phone users. The size of the data involved in this style of research is enormous; Xiao, Wang, and Fang (2019) received 600 – 800 million records per day when they used mobile phone data from Shanghai, resulting in over 10 billion mobile phone trajectories. However, mobile phone data does not provide precise travel itineraries. Rather, the data is a series of time-space points, showing where mobile phone users were when they made or received calls or text messages. Inferences are required to determine which mobile phone users are tourists, and when they entered countries or regions. However, the ubiquity of mobile phone use and the size of the data sets available to researchers means that this form of data can be used as a proxy for accommodation and visitation (Xiao, Wang, and Fang, 2019; Ahas et al., 2008; Ahas et al., 2007). Many significant findings regarding travel behaviour have emerged from this technique, including understandings of the impacts of seasonality, the impacts of nationality, and the impacts of events. This chapter will review these findings as well as the challenges that arise from the use of this data.

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Hardy, 2020

Hardy, A. (2020) "Chapter 7 Mobile Phone Tower Tracking" In: Hardy, A. (ed) . Oxford: Goodfellow Publishers http://dx.doi.org/10.23912/9781911635383-4564


Ahas, R., Aasa, A., Mark, Ü., Pae, T. and Kull, A. (2007) Seasonal tourism spaces in Estonia: Case study with mobile positioning data, Tourism Management, 28(3), 898-901.


Ahas, R., Aasa, A., Roose, A., Mark, U. and Silm, S. (2008) Evaluating passive mobile positioning data for tourism surveys: An Estonian case study data, Tourism Management, 29(3), 469-486.


Ahas, R., Silm, S., Järv, O. Saluveer, E. and Tiru, M. (2010) Using mobile positioning data to model locations meaningful to users of mobile phones, Journal of Urban Technology, 17(1), 3-27.


Axhausen, K. W., Schmid, B., and Weis C. (2015) Predicting response rates updated, Arbeitsberichte Verkehrs-und Raumplanung, 1063, IVT, ETH Zurich, Zurich.

Den Hoed, W. and Russo, A. (2017) Professional travellers and tourist practices, Annals of Tourism Research, 63, 60-72.


Hardy, A. and Birenboim, A. and Wells, M. (2020) Using geoinformatics to assess tourist dispersal at the state level, Annals of Tourism Research, 82 .


Janzen, M., Vanhoof, M., Axhausen, K., Zbigniew, S. (2017) Estimating long- distance travel demand with mobile phone billing data, Conference Paper published in Proceedings of the 16th Swiss Transport Research Conference, Monte Verità/Ascona, May 18 - 20, 2016.

Kuusik, A., Tiru, M., and Varblane, U. (2011) Innovation in destination marketing: The use of passive mobile positioning for the segmentation of repeat visitors in Estonia, Baltic Journal of Management, 6(3), 378-399.


Nilbe, K., Ahas, R., & Silm, S. (2014) Evaluating the travel distances of events visitors and regular visitors using mobile positioning data: the case of Estonia, Journal of Urban Technology, 21(2), 91-107.


Raun, J. Ahas, R. and Tiru, M. (2016) Measuring tourism destinations using mobile tracking data, Tourism Management, 57, 202-212.


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


Silm, S., and Ahas, R. (2010) The seasonal variability of population in Estonian municipalities, Environment and Planning A, 42(10), 2527-2546.


Toole, J.L., Herrera-Yaque, C., Schneider, C.M. and Gonzalez, M.C. (2015), Coupling human mobility and social ties, Journal of the Royal Society Interface, 12(105), 1-14. Vanhoof, M., Hendrickx, L., Puussaar, A., Verstraeten, G., Ploetz, T. and


Smoreda, Z. (2017) Exploring the use of mobile phones during domestic tourism trips, Netcom, 31, 335-372. Versichele, M., De Groote, L., Bouuaert, M. C., Neutens, T., Moerman, I., and


Van de Weghe, N. (2014) Pattern mining in tourist attraction visits through association rule learning on Bluetooth tracking data: A case study of Ghent, Belgium, Tourism Management, 44, 67-81.


Xiao, Y., Wang, D., and Fang, J. (2019) Exploring the disparities in park access through mobile phone data: Evidence from Shanghai, China, Landscape and Urban Planning, 181, 80-91.


Zhao, X., Lu, X., Liu, Y. Lin, J. and An, J. (2018) Tourist movement patterns understanding from the perspective of travel party size using mobile tracking data: A case study of Xi'an, China, Tourism Management, 69, 368-383.



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