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Using geoinformatics to assess tourist dispersal at the state level

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  • Hardy, Anne
  • Birenboim, Amit
  • Wells, Martha

Abstract

Advanced tracking technologies have facilitated the tracking of tourists' movement with high levels of spatial resolution, allowing for the exploration of factors that influence dispersal. However, the degree to which different analytical indices impact the results that they generate, remains under-researched. This study uses a high tempo-spatial resolution data set of location tracking information that was collected in the island state of Tasmania, Australia, using a mobile phone research application. It compares the results that emerge when four different analytical indicators are used to quantify tourist dispersal. The results improve understandings of the role that analytical indicators play in assessing dispersal, along with the underlying factors that influence tourists' dispersal at the state scale.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:anture:v:82:y:2020:i:c:s0160738320300475
    DOI: 10.1016/j.annals.2020.102903
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    1. Versichele, Mathias & de Groote, Liesbeth & Claeys Bouuaert, Manuel & Neutens, Tijs & Moerman, Ingrid & Van de Weghe, Nico, 2014. "Pattern mining in tourist attraction visits through association rule learning on Bluetooth tracking data: A case study of Ghent, Belgium," Tourism Management, Elsevier, vol. 44(C), pages 67-81.
    2. John Friedmann, 1963. "Regional Economic Policy For Developing Areas," Papers in Regional Science, Wiley Blackwell, vol. 11(1), pages 41-61, January.
    3. Anne Hardy & Sarah Hyslop & Kate Booth & Brady Robards & Jagannath Aryal & Ulrike Gretzel & Richard Eccleston, 2017. "Tracking tourists’ travel with smartphone-based GPS technology: a methodological discussion," Information Technology & Tourism, Springer, vol. 17(3), pages 255-274, September.
    4. Koo, Tay T.R. & Wu, Cheng-Lung & Dwyer, Larry, 2012. "Dispersal of visitors within destinations: Descriptive measures and underlying drivers," Tourism Management, Elsevier, vol. 33(5), pages 1209-1219.
    5. Amit Birenboim & Noam Shoval, 2016. "Mobility Research in the Age of the Smartphone," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(2), pages 283-291, March.
    6. 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.
    7. Lorenzo Masiero & Judit Zoltan, 2012. "Tourists intra-destination visits and transportation mode : a bivariate model," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 1205, USI Università della Svizzera italiana.
    8. Lau, Pong-Lung & Koo, Tay T.R. & Dwyer, Larry, 2017. "Metrics to measure the geographic characteristics of tourism markets: An integrated approach based on Gini index decomposition," Tourism Management, Elsevier, vol. 59(C), pages 171-181.
    9. Koo, Tay T.R. & Wu, Cheng-Lung (Richard) & Dwyer, Larry, 2010. "Ground travel mode choices of air arrivals at regional destinations: The significance of tourism attributes and destination contexts," Research in Transportation Economics, Elsevier, vol. 26(1), pages 44-53.
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    Cited by:

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    2. Yarlein Ivama Julio Guerrero & Francisco Teixeira Pinto Dias, 2024. "Tourist Tracking Techniques and Their Role in Destination Management: A Bibliometric Study, 2007–2023," Sustainability, MDPI, vol. 16(9), pages 1-24, April.
    3. Chen, Jinyan & Becken, Susanne & Stantic, Bela, 2021. "Using Weibo to track global mobility of Chinese visitors," Annals of Tourism Research, Elsevier, vol. 89(C).
    4. McKercher, Bob & Filep, Sebastian & Moyle, Brent, 2021. "Movement in tourism: Time to re-integrate the tourist?," Annals of Tourism Research, Elsevier, vol. 91(C).
    5. Masiero, Lorenzo & Hrankai, Richard, 2022. "Modeling tourist accessibility to peripheral attractions," Annals of Tourism Research, Elsevier, vol. 92(C).
    6. Hardy, Anne & Vorobjovas-Pinta, Oscar & Wells, Martha & Grimmer, Louise & Grimmer, Martin, 2022. "Measuring cruise passenger dispersal through technology," Annals of Tourism Research, Elsevier, vol. 93(C).
    7. Ding Ding & Yunhao Zheng & Yi Zhang & Yu Liu, 2024. "Understanding attractions’ connection patterns based on intra-destination tourist mobility: A network motif approach," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.

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