IDEAS home Printed from https://ideas.repec.org/a/spr/infott/v25y2023i3d10.1007_s40558-023-00254-z.html
   My bibliography  Save this article

Advancing reliability assessment of venue-reference social media data for enhanced domestic tourism development

Author

Listed:
  • Huy Quan Vu

    (Deakin University)

  • Shah Jahan Miah

    (University of Newcastle)

  • Haiyang Xia

    (Australian National University)

  • Gang Li

    (Deakin University)

  • Birgit Muskat

    (Australian National University)

  • Rob Law

    (University of Macau)

Abstract

The aim of this research is to assess the reliability of venue check-in data. We focus on resident mobility and assess how venue check-in data can provide valuable insights into residents’ movement in tourist destinations. Understanding resident’s mobility and related activities is necessary for strategic planning and decision making for destination managers. Venue-referenced social media data (VR-SMD) is a new type of data and can provide insights into resident’s mobility and behavior. While VR-SMD is available on various social media platforms, their reliability to capture resident movement and activities has not been fully realized. We present an analytical approach to assess and demonstrate how VR-SMD, specifically venue check-in data, can be used to capture resident mobility and activities, with illustrative examples from the United States of America, United Kingdom, and Singapore. Results and analysis indicate that tourism managers and government organizations can exploit VR-SMD for domestic tourism development.

Suggested Citation

  • Huy Quan Vu & Shah Jahan Miah & Haiyang Xia & Gang Li & Birgit Muskat & Rob Law, 2023. "Advancing reliability assessment of venue-reference social media data for enhanced domestic tourism development," Information Technology & Tourism, Springer, vol. 25(3), pages 433-451, September.
  • Handle: RePEc:spr:infott:v:25:y:2023:i:3:d:10.1007_s40558-023-00254-z
    DOI: 10.1007/s40558-023-00254-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40558-023-00254-z
    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/s40558-023-00254-z?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. Daniele Barchiesi & Helen Susannah Moat & Christian Alis & Steven Bishop & Tobias Preis, 2015. "Quantifying International Travel Flows Using Flickr," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-8, July.
    2. Kyra H. Grantz & Hannah R. Meredith & Derek A. T. Cummings & C. Jessica E. Metcalf & Bryan T. Grenfell & John R. Giles & Shruti Mehta & Sunil Solomon & Alain Labrique & Nishant Kishore & Caroline O. B, 2020. "The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    3. Peter Adey & Kevin Hannam & Mimi Sheller & David Tyfield, 2021. "Pandemic (Im)mobilities," Mobilities, Taylor & Francis Journals, vol. 16(1), pages 1-19, January.
    4. 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.
    5. Rodolfo Baggio & Miriam Scaglione, 2018. "Strategic visitor flows and destination management organization," Information Technology & Tourism, Springer, vol. 18(1), pages 29-42, April.
    6. Orellana, Daniel & Bregt, Arnold K. & Ligtenberg, Arend & Wachowicz, Monica, 2012. "Exploring visitor movement patterns in natural recreational areas," Tourism Management, Elsevier, vol. 33(3), pages 672-682.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Raun, Janika & Ahas, Rein & Tiru, Margus, 2016. "Measuring tourism destinations using mobile tracking data," Tourism Management, Elsevier, vol. 57(C), pages 202-212.
    3. Leask, Anna, 2016. "Visitor attraction management: A critical review of research 2009–2014," Tourism Management, Elsevier, vol. 57(C), pages 334-361.
    4. 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.
    5. 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.
    6. 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.
    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. Gajdošík Tomáš, 2018. "Smart Tourism: Concepts and Insights from Central Europe," Czech Journal of Tourism, Sciendo, vol. 7(1), pages 25-44, June.
    9. Tobias Preis & Federico Botta & Helen Susannah Moat, 2020. "Sensing global tourism numbers with millions of publicly shared online photographs," Environment and Planning A, , vol. 52(3), pages 471-477, May.
    10. Xingshan Wang & Lu Tang & Wei Chen & Jianxin Zhang, 2022. "Impact and Recovery of Coastal Tourism Amid COVID-19: Tourism Flow Networks in Indonesia," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    11. 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.
    12. 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.
    13. Vu, Huy Quan & Li, Gang & Law, Rob & Ye, Ben Haobin, 2015. "Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos," Tourism Management, Elsevier, vol. 46(C), pages 222-232.
    14. Kulczyk, Sylwia & Woźniak, Edyta & Derek, Marta, 2018. "Landscape, facilities and visitors: An integrated model of recreational ecosystem services," Ecosystem Services, Elsevier, vol. 31(PC), pages 491-501.
    15. Wolf, Isabelle D. & Wohlfart, Teresa & Brown, Greg & Bartolomé Lasa, Abraham, 2015. "The use of public participation GIS (PPGIS) for park visitor management: A case study of mountain biking," Tourism Management, Elsevier, vol. 51(C), pages 112-130.
    16. Wenping Liu & Chenlu Dong & Weijuan Chen, 2017. "Mapping and Quantifying Spatial and Temporal Dynamics and Bundles of Travel Flows of Residents Visiting Urban Parks," Sustainability, MDPI, vol. 9(8), pages 1-15, July.
    17. Jinwon Kim & Brijesh Thapa & Seongsoo Jang & Eunjung Yang, 2018. "Seasonal Spatial Activity Patterns of Visitors with a Mobile Exercise Application at Seoraksan National Park, South Korea," Sustainability, MDPI, vol. 10(7), pages 1-21, July.
    18. Yanchao Li & Ziyu Ran & Lily Tsai & Sarah Williams, 2023. "Using call detail records to determine mobility patterns of different socio-demographic groups in the western area of Sierra Leone during early COVID-19 crisis," Environment and Planning B, , vol. 50(5), pages 1298-1312, June.
    19. Federico Botta & Helen Susannah Moat & H Eugene Stanley & Tobias Preis, 2015. "Quantifying Stock Return Distributions in Financial Markets," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-10, September.
    20. Yulin Hswen & Ulrich Nguemdjo & Elad Yom-Tov & Gregory M Marcus & Bruno Ventelou, 2022. "Individuals’ willingness to provide geospatial global positioning system (GPS) data from their smartphone during the COVID-19 pandemic," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.

    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:25:y:2023:i:3:d:10.1007_s40558-023-00254-z. 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.