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Analysis of the Image of Global Glacier Tourism Destinations from the Perspective of Tourists

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  • Fan Tang

    (State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    The School of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jianping Yang

    (State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China)

  • Yanxia Wang

    (State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    The School of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Qiuling Ge

    (State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    The School of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Glaciers are attracting increasing attention in the context of climate change, and glacier tourism has also become a popular tourist product. However, few studies have been conducted concerning the image of glacier tourism destinations. To address this gap in the literature, in this study, we extracted destination images from 138,709 visitor reviews of 107 glacier tourism destinations on TripAdvisor using latent Dirichlet allocation (LDA) topic modeling, identified destination image characteristics using salience−valence analysis (SVA), and analyzed the differences in glacier tourism destination image characteristics across seasons and regions. According to the findings, the image of a glacier tourism destination consists of 14 dimensions and 53 attributes, with landscapes and specific activities representing the core image and viewing location and necessity representing the unique image. We identified significant seasonal and regional differences in the image of glacier tourism destinations. Finally, we discussed the unique image of glacier tourism destinations, the reasons for differences in the images, and the characteristics of different glacier tourism regions. This research could assist in the scientific management of their core images by glacier tourism destinations, as well as in the rational selection of destinations and travel timing by glacier tourists.

Suggested Citation

  • Fan Tang & Jianping Yang & Yanxia Wang & Qiuling Ge, 2022. "Analysis of the Image of Global Glacier Tourism Destinations from the Perspective of Tourists," Land, MDPI, vol. 11(10), pages 1-21, October.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1853-:d:948174
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    References listed on IDEAS

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    1. Keying Ding & Mian Yang & Shixian Luo, 2021. "Mountain Landscape Preferences of Millennials Based on Social Media Data: A Case Study on Western Sichuan," Land, MDPI, vol. 10(11), pages 1-17, November.
    2. Young Kwark & Jianqing Chen & Srinivasan Raghunathan, 2014. "Online Product Reviews: Implications for Retailers and Competing Manufacturers," Information Systems Research, INFORMS, vol. 25(1), pages 93-110, March.
    3. Marius Mayer & O. Cenk Demiroglu & Oguzhan Ozcelebi, 2018. "Microclimatic Volatility and Elasticity of Glacier Skiing Demand," Sustainability, MDPI, vol. 10(10), pages 1-14, October.
    4. Sara Campo & María J. Yagüe, 2008. "Research Note: Effects of Price on Tourist Satisfaction," Tourism Economics, , vol. 14(3), pages 657-661, September.
    5. Yuanxiang Peng & Ping Yin & Kurt Matzler, 2022. "Analysis of Destination Images in the Emerging Ski Market: The Case Study in the Host City of the 2022 Beijing Winter Olympic Games," Sustainability, MDPI, vol. 14(1), pages 1-18, January.
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    Cited by:

    1. John E. Gordon, 2023. "Climate Change and Geotourism: Impacts, Challenges, and Opportunities," Tourism and Hospitality, MDPI, vol. 4(4), pages 1-25, September.
    2. Jianping Yang & Yanxia Wang & Fan Tang & Xinyu Guo & Hongju Chen & Guangxi Ding, 2023. "Ice-and-snow tourism in China: trends and influencing factors," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    3. Jiani Zhang & Xun Zhu & Ming Gao, 2022. "The Relationship between Habitat Diversity and Tourists’ Visual Preference in Urban Wetland Park," Land, MDPI, vol. 11(12), pages 1-19, December.
    4. Mihaela-Iuliana Desculțu Grigore & Amalia Niță & Ionuț-Adrian Drăguleasa & Mirela Mazilu, 2024. "Geotourism, a New Perspective of Post-COVID-19-Pandemic Relaunch through Travel Agencies—Case Study: Bucegi Natural Park, Romania," Sustainability, MDPI, vol. 16(3), pages 1-49, January.

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