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An Analysis of the Sustainable Tourism Value of Graffiti Tours through Social Media: Focusing on TripAdvisor Reviews of Graffiti Tours in Bogota, Colombia

Author

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  • Hwayoon Seok

    (Department of Culture, Tourism and Content, Kyung Hee University, South 130-701, Korea)

  • Yeajin Joo

    (Department of Culture, Tourism and Content, Kyung Hee University, South 130-701, Korea)

  • Yoonjae Nam

    (Department of Culture, Tourism and Content, Kyung Hee University, South 130-701, Korea)

Abstract

This study attempts to analyze the value of graffiti tours from the perspective of sustainable tourism by examining actual reviews by social media users using text mining and social network analysis. The text mining technique indicates that “artist,” “history,” “political,” “culture,” “social,” “city,” “background,” “great,” “recommend,” “excellent”, and “worth,” are frequently used keywords for the reviews. When comparing word frequencies per review between 2013–2016 and 2017–2019, the results show that the words, “history,” “political,” “culture,” and “social,” have been more frequently used over time. Furthermore, the network visualization shows that those words connoting socio-cultural sustainability are mutually connected. Therefore, the study suggests that graffiti tours can have potential for assuming the role of sustainable tourism, since the keywords from reviews are associated with the perspective of socio-cultural sustainability.

Suggested Citation

  • Hwayoon Seok & Yeajin Joo & Yoonjae Nam, 2020. "An Analysis of the Sustainable Tourism Value of Graffiti Tours through Social Media: Focusing on TripAdvisor Reviews of Graffiti Tours in Bogota, Colombia," Sustainability, MDPI, vol. 12(11), pages 1-19, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:11:p:4426-:d:364589
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    References listed on IDEAS

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    1. Seung-Hun Shin & Sung-Byung Yang & Kichan Nam & Chulmo Koo, 2017. "Conceptual foundations of a landmark personality scale based on a destination personality scale: Text mining of online reviews," Information Systems Frontiers, Springer, vol. 19(4), pages 743-752, August.
    2. Seung-Hun Shin & Sung-Byung Yang & Kichan Nam & Chulmo Koo, 0. "Conceptual foundations of a landmark personality scale based on a destination personality scale: Text mining of online reviews," Information Systems Frontiers, Springer, vol. 0, pages 1-10.
    3. Feinerer, Ingo & Hornik, Kurt & Meyer, David, 2008. "Text Mining Infrastructure in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i05).
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    5. Yoonjae Nam, 2015. "Institutional network structure of corporate stakeholders regarding global corporate social responsibility issues," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1063-1080, May.
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    7. Kim Dovey & Simon Wollan & Ian Woodcock, 2012. "Placing Graffiti: Creating and Contesting Character in Inner-city Melbourne," Journal of Urban Design, Taylor & Francis Journals, vol. 17(1), pages 21-41.
    8. Harold Richins, 2009. "Environmental, cultural, economic and socio-community sustainability: a framework for sustainable tourism in resort destinations," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 11(4), pages 785-800, August.
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    1. Eva-María Martínez-Carazo & Virginia Santamarina-Campos & María de-Miguel-Molina, 2021. "Creative Mural Landscapes, Building Communities and Resilience in Uruguayan Tourism," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    2. Mylona Ifigeneia & Amanatidis Dimitrios & Stavrianea Aikaterini & Kamenidou Irene (Eirini) & Mamalis Spyridon, 2021. "Promoting Tourists’ Destinations in Greece with Social Media: The Case of Kimolos Island," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 347-361.
    3. He, Jun & Huang, Zilong & Mishra, Arunodaya Raj & Alrasheedi, Melfi, 2021. "Developing a new framework for conceptualizing the emerging sustainable community-based tourism using an extended interval-valued Pythagorean fuzzy SWARA-MULTIMOORA," Technological Forecasting and Social Change, Elsevier, vol. 171(C).

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