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Evaluating the Travel Distances of Events Visitors and Regular Visitors Using Mobile Positioning Data: The Case of Estonia

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  • Kati Nilbe
  • Rein Ahas
  • Siiri Silm

Abstract

Event tourism has become an important economic component of modern tourism, given the growing numbers of visitors and the development of local communities that it entails. This study examines whether the distances traveled by foreign visitors to events differ from those traveled by non-event (i.e., regular) visitors, and which factors influence such distances. We use passive mobile positioning data obtained from visitors to 145 events in Estonia (119,288 visits) and from a comparison group of regular visitors (199,859 visits) between 2006 and 2009. The results show that events visitors come from nearer locations than regular visitors; similarly to regular visitors, the distance decay principle applies in case of events visitors; and that events bring more visitors from more distant countries in the off-season (winter).

Suggested Citation

  • Kati Nilbe & Rein Ahas & Siiri Silm, 2014. "Evaluating the Travel Distances of Events Visitors and Regular Visitors Using Mobile Positioning Data: The Case of Estonia," Journal of Urban Technology, Taylor & Francis Journals, vol. 21(2), pages 91-107, April.
  • Handle: RePEc:taf:cjutxx:v:21:y:2014:i:2:p:91-107
    DOI: 10.1080/10630732.2014.888218
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    Cited by:

    1. A. G. Makhrova & R. A. Babkin & P. L. Kirillov & A. V. Starikova & A. V. Sheludkov, 2022. "Temporary Mobility and Population Pulsations in Space of Post-Soviet Russia," Regional Research of Russia, Springer, vol. 12(1), pages 36-50, March.
    2. Getz, Donald & Page, Stephen J., 2016. "Progress and prospects for event tourism research," Tourism Management, Elsevier, vol. 52(C), pages 593-631.
    3. Šveda, Martin & Madajová, Michala Sládeková, 2023. "Estimating distance decay of intra-urban trips using mobile phone data: The case of Bratislava, Slovakia," Journal of Transport Geography, Elsevier, vol. 107(C).
    4. Hardy, Anne & Birenboim, Amit & Wells, Martha, 2020. "Using geoinformatics to assess tourist dispersal at the state level," Annals of Tourism Research, Elsevier, vol. 82(C).
    5. Qian, Chen & Li, Weifeng & Duan, Zhengyu & Yang, Dongyuan & Ran, Bin, 2021. "Using mobile phone data to determine spatial correlations between tourism facilities," Journal of Transport Geography, Elsevier, vol. 92(C).
    6. Tamás Kovalcsik & Ábel Elekes & Lajos Boros & László Könnyid & Zoltán Kovács, 2022. "Capturing Unobserved Tourists: Challenges and Opportunities of Processing Mobile Positioning Data in Tourism Research," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    7. Raun, Janika & Ahas, Rein & Tiru, Margus, 2016. "Measuring tourism destinations using mobile tracking data," Tourism Management, Elsevier, vol. 57(C), pages 202-212.
    8. Tarmo Kalvet & Maarja Olesk & Marek Tiits & Janika Raun, 2020. "Innovative Tools for Tourism and Cultural Tourism Impact Assessment," Sustainability, MDPI, vol. 12(18), pages 1-30, September.
    9. Zbucki Łukasz, 2022. "Variability of mobile phone network logins in the Białowieża National Park during the 2019 and 2020 summer holiday periods in the context of the COVID-19 pandemic," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 26(4), pages 169-177, October.
    10. Brendan Richard & Jamie Murphy & Laura Altin, 2018. "Premium offerings in the sharing economy: Authentic immersions," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 17(4), pages 244-255, August.
    11. Ana Condeço-Melhorado & Inmaculada Mohino & Borja Moya-Gómez & Juan Carlos García-Palomares, 2020. "The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
    12. Jianxin Zhang & Yuting Yan & Jinyue Zhang & Peixue Liu & Li Ma, 2023. "Investigating the Spatial-Temporal Variation of Pre-Trip Searching in an Urban Agglomeration," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    13. Yong Gao & Chao Ye & Xiang Zhong & Lun Wu & Yu Liu, 2019. "Extracting Spatial Patterns of Intercity Tourist Movements from Online Travel Blogs," Sustainability, MDPI, vol. 11(13), pages 1-18, June.
    14. Zoltán Kovács & György Vida & Ábel Elekes & Tamás Kovalcsik, 2021. "Combining Social Media and Mobile Positioning Data in the Analysis of Tourist Flows: A Case Study from Szeged, Hungary," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    15. Cheng Shi & Yujia Zhai & Dongying Li, 2023. "Urban tourists’ spatial distribution and subgroup identification in a metropolis --the examination applying mobile signaling data and latent profile analysis," Information Technology & Tourism, Springer, vol. 25(3), pages 453-476, September.

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