IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i10p1853-d948174.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/10/1853/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/10/1853/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    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. 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.
    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. 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 1-52, January.
    2. John E. Gordon, 2023. "Climate Change and Geotourism: Impacts, Challenges, and Opportunities," Tourism and Hospitality, MDPI, vol. 4(4), pages 1-25, September.
    3. 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.
    4. 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.

    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. Yi He & Qianqian Xu & Da Zhao, 2020. "Impacts of the BOPS Option on Sustainable Retailing," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    2. Li, Yimeng & Xiong, Yu & Mariuzzo, Franco & Xia, Senmao, 2021. "The underexplored impacts of online consumer reviews: Pricing and new product design strategies in the O2O supply chain," International Journal of Production Economics, Elsevier, vol. 237(C).
    3. repec:tiu:tiutis:e611d57c-0172-4fc3-b1f3-9e569776398b is not listed on IDEAS
    4. Xiaowei Mei & Hsing Kenneth Cheng & Subhajyoti Bandyopadhyay & Liangfei Qiu & Lai Wei, 2022. "Sponsored Data: Smarter Data Pricing with Incomplete Information," Information Systems Research, INFORMS, vol. 33(1), pages 362-382, March.
    5. Pei-Yu Chen & Yili Hong & Ying Liu, 2018. "The Value of Multidimensional Rating Systems: Evidence from a Natural Experiment and Randomized Experiments," Management Science, INFORMS, vol. 64(10), pages 4629-4647, October.
    6. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    7. Yuting Chen & Rong Zhang & Bin Liu, 2021. "Fixed, flexible, and dynamics pricing decisions of Airbnb mode with social learning," Tourism Economics, , vol. 27(5), pages 893-914, August.
    8. Zhong, Yuyun & Shen, Wenjing & Ceryan, Oben, 2023. "Information provision under showrooming and webrooming," Omega, Elsevier, vol. 114(C).
    9. Amit Mehra & Subodha Kumar & Jagmohan S. Raju, 2018. "Competitive Strategies for Brick-and-Mortar Stores to Counter “Showrooming”," Management Science, INFORMS, vol. 64(7), pages 3076-3090, July.
    10. Wang, Fa & Chen, Jing & Yang, Hui & Yu, Bo, 2022. "Supplier selection with information disclosure in the presence of uninformed consumers," International Journal of Production Economics, Elsevier, vol. 243(C).
    11. Wang, Jiayun & Shum, Stephen & Feng, Gengzhong, 2022. "Supplier’s pricing strategy in the presence of consumer reviews," European Journal of Operational Research, Elsevier, vol. 296(2), pages 570-586.
    12. Sun, Yanhong & Wang, Zihan & Han, Xiaohua, 2020. "Supply chain channel strategies for online retailers: Whether to introduce web showrooms?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    13. Shiyong Zheng & Jiarong Cui & Chaojing Sun & Jiaying Li & Biqing Li & Weili Guan, 2022. "The Effects of the Type of Information Played in Environmentally Themed Short Videos on Social Media on People’s Willingness to Protect the Environment," IJERPH, MDPI, vol. 19(15), pages 1-18, August.
    14. Tunç, Murat & Cavusoglu, Huseyin & Raghunathan, Srinivasan, 2021. "Online product reviews : Is a finer-grained rating scheme superior to a coarser one?," Other publications TiSEM ec57cbf3-7415-4427-aafc-6, Tilburg University, School of Economics and Management.
    15. Dominik Gutt, 2018. "In the Eye of the Beholder? Empirically Decomposing Different Economic Implications of the Online Rating Variance," Working Papers Dissertations 40, Paderborn University, Faculty of Business Administration and Economics.
    16. Xuying Zhao & Hong Guo & Gangshu Cai & Subhajyoti Bandyopadhyay, 2021. "The Role of Expectation–Reality Discrepancy in Service Contracts," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4160-4175, November.
    17. Theodoros Lappas & Gaurav Sabnis & Georgios Valkanas, 2016. "The Impact of Fake Reviews on Online Visibility: A Vulnerability Assessment of the Hotel Industry," Information Systems Research, INFORMS, vol. 27(4), pages 940-961, December.
    18. Hongpeng Wang & Rong Du & Jin Li & Weiguo Fan, 2020. "Subdivided or aggregated online review systems: Which is better for online takeaway vendors?," Electronic Commerce Research, Springer, vol. 20(4), pages 915-944, December.
    19. Qiao, Haike & Su, Qin, 2021. "Distribution channel and licensing strategy choice considering consumer online reviews in a closed-loop supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    20. Cheng Zhao & Chong Alex Wang, 2023. "A cross-site comparison of online review manipulation using Benford’s law," Electronic Commerce Research, Springer, vol. 23(1), pages 365-406, March.
    21. Xue‐ge Guo & Yong Liu & Zhen‐juan Xia, 2023. "Decision analysis and coordination of dual supply chain with retailer's offline return service and online reviews," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 322-335, January.

    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:gam:jlands:v:11:y:2022:i:10:p:1853-:d:948174. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.