IDEAS home Printed from https://ideas.repec.org/a/spr/infott/v17y2017i3d10.1007_s40558-017-0086-3.html
   My bibliography  Save this article

Tracking tourists’ travel with smartphone-based GPS technology: a methodological discussion

Author

Listed:
  • Anne Hardy

    (University of Tasmania)

  • Sarah Hyslop

    (University of Tasmania)

  • Kate Booth

    (University of Tasmania)

  • Brady Robards

    (University of Tasmania)

  • Jagannath Aryal

    (University of Tasmania)

  • Ulrike Gretzel

    (University of Southern California)

  • Richard Eccleston

    (University of Tasmania)

Abstract

This methodological paper discusses the implications of differing approaches for tracking tourists’ movement through destinations and then describes an innovative new method that utilises smartphone-based Global Positioning Systems (GPS) technology and a mobile app to track tourists through regional destinations and attractions over an extended period. The method was developed by the Tasmanian Sensing Tourist Travel project team and is among the largest tracking studies ever conducted in tourism, both spatially and temporally and in terms of sample size. It tracked the movement of 472 tourists in real time via an app with three integrated surveys and GPS tracking. The research team was faced with multiple challenges given the ambitious nature of the project, including: app design, securing tracking hardware, forging partnerships with providers, participant recruitment, and the ethical and legal dimensions of both the tracking and the provision of mobile data as an incentive to participate. This paper discusses the lessons from the project and a holistic study design model to support continuous methodological progress in this growing research area.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:infott:v:17:y:2017:i:3:d:10.1007_s40558-017-0086-3
    DOI: 10.1007/s40558-017-0086-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40558-017-0086-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40558-017-0086-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yuji Yoshimura & Stanislav Sobolevsky & Carlo Ratti & Fabien Girardin & Juan Pablo Carrascal & Josep Blat & Roberta Sinatra, 2014. "An Analysis of Visitors' Behavior in the Louvre Museum: A Study Using Bluetooth Data," Environment and Planning B, , vol. 41(6), pages 1113-1131, December.
    2. O’Connor, A. & Zerger, A. & Itami, B., 2005. "Geo-temporal tracking and analysis of tourist movement," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 135-150.
    3. Asakura, Yasuo & Iryo, Takamasa, 2007. "Analysis of tourist behaviour based on the tracking data collected using a mobile communication instrument," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(7), pages 684-690, August.
    4. Raun, Janika & Ahas, Rein & Tiru, Margus, 2016. "Measuring tourism destinations using mobile tracking data," Tourism Management, Elsevier, vol. 57(C), pages 202-212.
    5. Smith, Wayne W. & Li, Xiang (Robert) & Pan, Bing & Witte, Mark & Doherty, Sean T., 2015. "Tracking destination image across the trip experience with smartphone technology," Tourism Management, Elsevier, vol. 48(C), pages 113-122.
    6. De Cantis, Stefano & Ferrante, Mauro & Kahani, Alon & Shoval, Noam, 2016. "Cruise passengers' behavior at the destination: Investigation using GPS technology," Tourism Management, Elsevier, vol. 52(C), pages 133-150.
    7. Wang, Dan & Xiang, Zheng & Fesenmaier, Daniel R., 2014. "Adapting to the mobile world: A model of smartphone use," Annals of Tourism Research, Elsevier, vol. 48(C), pages 11-26.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bartosz Bursa & Markus Mailer & Kay W. Axhausen, 2022. "Intra-destination travel behavior of alpine tourists: a literature review on choice determinants and the survey work," Transportation, Springer, vol. 49(5), pages 1465-1516, October.
    2. Monther M. Jamhawi & Roa’a J. Zidan & Mohammed Fareed Sherzad, 2023. "Tourist Movement Patterns and the Effects of Spatial Configuration in a Cultural Heritage and Urban Destination: The Case of Madaba, Jordan," Sustainability, MDPI, vol. 15(2), pages 1-25, January.
    3. 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).
    4. 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.
    5. 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).
    6. Yang Yang & Jason L. Stienmetz, 2018. "Big data and tourism planning," Information Technology & Tourism, Springer, vol. 20(1), pages 189-190, December.
    7. Bursa, Bartosz & Mailer, Markus & Axhausen, Kay W., 2022. "Travel behavior on vacation: transport mode choice of tourists at destinations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 234-261.
    8. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Angela Chantre-Astaiza & Laura Fuentes-Moraleda & Ana Muñoz-Mazón & Gustavo Ramirez-Gonzalez, 2019. "Science Mapping of Tourist Mobility 1980–2019. Technological Advancements in the Collection of the Data for Tourist Traceability," Sustainability, MDPI, vol. 11(17), pages 1-32, August.
    2. Ana Muñoz-Mazón & Laura Fuentes-Moraleda & Angela Chantre-Astaiza & Marlon-Felipe Burbano-Fernandez, 2019. "The Study of Tourist Movements in Tourist Historic Cities: A Comparative Analysis of the Applicability of Four Different Tools," Sustainability, MDPI, vol. 11(19), pages 1-26, September.
    3. Zheng, Weimin & Huang, Xiaoting & Li, Yuan, 2017. "Understanding the tourist mobility using GPS: Where is the next place?," Tourism Management, Elsevier, vol. 59(C), pages 267-280.
    4. Chunla Liu & Yingjie Qin & Yufei Wang & Yue Yu & Guanghui Li, 2022. "Spatio-Temporal Distribution of Tourism Flows and Network Analysis of Traditional Villages in Western Hunan," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    5. David Zejda & Josef Zelenka, 2019. "The Concept of Comprehensive Tracking Software to Support Sustainable Tourism in Protected Areas," Sustainability, MDPI, vol. 11(15), pages 1-18, July.
    6. Tomáš Gajdošík, 2020. "Smart tourists as a profiling market segment: Implications for DMOs," Tourism Economics, , vol. 26(6), pages 1042-1062, September.
    7. Tao Liu & Ying Zhang & Huan Zhang & Xiping Yang, 2021. "A Methodological Workflow for Deriving the Association of Tourist Destinations Based on Online Travel Reviews: A Case Study of Yunnan Province, China," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    8. Hee Chung Chung & Namho Chung & Yoonjae Nam, 2017. "A Social Network Analysis of Tourist Movement Patterns in Blogs: Korean Backpackers in Europe," Sustainability, MDPI, vol. 9(12), pages 1-19, December.
    9. Dias Sónia & Afonso Victor Alves, 2021. "Impact of Mobile Applications in Changing the Tourist Experience," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 11(1), pages 113-120, December.
    10. Yamilé Pérez Guilarte & Daniel Barreiro Quintáns, 2019. "Using Big Data to Measure Tourist Sustainability: Myth or Reality?," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    11. Marina Toger & Karima Kourtit & Peter Nijkamp & John Östh, 2021. "Mobility during the COVID-19 Pandemic: A Data-Driven Time-Geographic Analysis of Health-Induced Mobility Changes," Sustainability, MDPI, vol. 13(7), pages 1-21, April.
    12. Karst Geurs & Cathy Macharis, 2019. "The future of European communication and transportation research: a research agenda," REGION, European Regional Science Association, vol. 6, pages 1-21.
    13. Toger Marina & Östh John & Persson Sabine Gebert, 2023. "What You See is Where You Go: Cruise Tourists’ Spatial Consumption of Destination Amenities," Economic Themes, Sciendo, vol. 61(1), pages 63-84, March.
    14. Lalicic, Lidija & Dickinger, Astrid, 2019. "An assessment of user-driven innovativeness in a mobile computing travel platform," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 233-241.
    15. Stefania Mangano & Gian Marco Ugolini, 2020. "New Opportunities for Cruise Tourism: The Case of Italian Historic Towns," Sustainability, MDPI, vol. 12(11), pages 1-15, June.
    16. Tosporn Arreeras & Mikiharu Arimura & Takumi Asada & Saharat Arreeras, 2019. "Association Rule Mining Tourist-Attractive Destinations for the Sustainable Development of a Large Tourism Area in Hokkaido Using Wi-Fi Tracking Data," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
    17. Aebli, Annika, 2019. "Tourists' motives for gamified technology use," Annals of Tourism Research, Elsevier, vol. 78(C), pages 1-1.
    18. MacInnes, S. & Ong, F. & Dolnicar, S., 2022. "Travel career or childhood travel habit?," Annals of Tourism Research, Elsevier, vol. 95(C).
    19. Michał Roman & Monika Roman & Arkadiusz Niedziółka, 2020. "Spatial Diversity of Tourism in the Countries of the European Union," Sustainability, MDPI, vol. 12(7), pages 1-16, March.
    20. Judita Peterlin & Maja Meško & Vlado Dimovski & Vasja Roblek, 2021. "Automated content analysis: The review of the big data systemic discourse in tourism and hospitality," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(3), pages 377-385, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infott:v:17:y:2017:i:3:d:10.1007_s40558-017-0086-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.