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Deciphering Tourism’s Role in Antarctica’s Geosocial Concerns through Data Mining Techniques

Author

Listed:
  • Víctor Calderón-Fajardo

    (Complutense University of Madrid, 28040 Madrid, Spain
    University of Malaga, 29010 Malaga, Spain)

  • Miguel Puig-Cabrera

    (Research Centre for Tourism, Sustainability and Well-Being (CinTurs), Universidade do Algarve, 8005-139 Faro, Portugal)

  • Ignacio Rodríguez-Rodríguez

    (University of Malaga, 29010 Malaga, Spain)

Abstract

This study explores the changing dynamics of tourism in Antarctica, focusing on the impact of digitalisation and User-Generated Content on platforms like Tripadvisor. It aims to understand how online reviews influence perceptions and decisions to visit Antarctica, a region known for its pristine environment and status as ‘the last frontier’. Utilising Environmental Perception and Behaviour Geography (EPBG) principles, this research conducts a quantitative analysis of reviews from potential and current travellers. Through text mining, topic modelling, sentiment analysis, and Natural Language Processing (NLP), it investigates the emotional and perceptual discourse surrounding Antarctic tourism and its alignment with Agenda 2030 and Sustainable Development Goals. The findings reveal a detailed narrative of sustainability challenges and the emotional geography related to tourism in Antarctica, highlighting emotions such as happiness, anger, surprise, fear, disgust, and sadness among visitors. This study uncovers differences in perception based on visitors’ backgrounds, noting that individuals from nature-focused cities display strong environmental concerns, whereas those from advanced urban centres show a more positive attitude. This research contributes to the understanding of EPBG, text mining, and NLP, offering insights into sustainable tourism practices in Antarctica.

Suggested Citation

  • Víctor Calderón-Fajardo & Miguel Puig-Cabrera & Ignacio Rodríguez-Rodríguez, 2024. "Deciphering Tourism’s Role in Antarctica’s Geosocial Concerns through Data Mining Techniques," Land, MDPI, vol. 13(6), pages 1-22, June.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:6:p:843-:d:1414221
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    References listed on IDEAS

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    1. Egbert Van der Zee & Dario Bertocchi, 2018. "Finding patterns in urban tourist behaviour: a social network analysis approach based on TripAdvisor reviews," Information Technology & Tourism, Springer, vol. 20(1), pages 153-180, December.
    2. Eunil Park & Jiwon Kang & Daejin Choi & Jinyoung Han, 2020. "Understanding customers' hotel revisiting behaviour: a sentiment analysis of online feedback reviews," Current Issues in Tourism, Taylor & Francis Journals, vol. 23(5), pages 605-611, March.
    3. Nicholas Smith & Anthony Leiserowitz, 2014. "The Role of Emotion in Global Warming Policy Support and Opposition," Risk Analysis, John Wiley & Sons, vol. 34(5), pages 937-948, May.
    4. Papatheodorou, Andreas, 2021. "A review of research into air transport and tourism," Annals of Tourism Research, Elsevier, vol. 87(C).
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    Cited by:

    1. Fan Ren, 2024. "Does Government Environmental Concern Affect Enterprise Sustainable Development? Evidence from China," Sustainability, MDPI, vol. 16(21), pages 1-21, November.

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