Do tourists’ perceptions of tourism destination change across seasons? A mixed big data analysis
Jianfeng Ma and
Hongwei Tu
Current Issues in Tourism, 2023, vol. 26, issue 12, 2006-2026
Abstract:
Many scholars use big data analysis methods to investigate tourist destination image. However, research on the internal relations between the key elements of tourist destination image and its revolution trends is rare, especially with respect to seasonal trends. To bridge this gap in the literature, our research is the first to comprehensively use multiple big data analysis methods to explore tourist destination image based on tourist gaze theory. By analyzing 22,035 tourists’ reviews of Huangshan, we had three main findings: First, ‘convenient’, ‘worthy’, ‘beautiful scenery’, ‘satisfactory’, ‘adequate facilities’, and ‘great experience’ are the six main tourism destination image dimensions of Huangshan; second, the keywords of each dimension display various co-occurrence relations; finally, the tourism destination image dimensions exhibit different seasonal trends over time. Our study not only greatly enhances the existing literature, but also provides important practical implications for destination marketing organizations.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/13683500.2022.2077177 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:rcitxx:v:26:y:2023:i:12:p:2006-2026
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rcit20
DOI: 10.1080/13683500.2022.2077177
Access Statistics for this article
Current Issues in Tourism is currently edited by Jennifer Tunstall
More articles in Current Issues in Tourism from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().