Study on Image of Coastal Tourism Destination Based on the Gaze of Tourists—A Case of Guangdong-Hong Kong-Macao Greater Bay Area
Authors: 
Mengya Li, Xue QinAuthors Info & Claims
Mengya Li, Xue QinAuthors Info & ClaimsPages 116 - 123
Abstract
The image of tourism destination is the tourists' perception of tourism destination elements in the process of tourism. The research on the image of tourism destination is conducive to analyze the attraction of tourism destination to tourists, help the managers to excavate the characteristic tourism resources of tourism destination, shape the image of tourism destination, and enhance the attraction and competitiveness of tourism destination market.The study of coastal tourism destination image is of great significance to the development of tourism destination. Taking Guangdong-Hong Kong- Macao Greater Bay Area as the representative, this paper collects the comments published by domestic tourists on the website, and uses the grounded theory and text analysis method to study the cognitive image, emotional image and overall image of coastal tourism destination. It is found that the cognitive image of coastal tourism destination can be divided into five main categories, namely the "coastal natural landscape", "coastal cultural landscape", "coastal tourism activities", "destination environment" and "service facilities". On this basis, by extracting the emotional sentences from the comments and combining with the "Circumplex Model of Affection", it is found that the emotional images of coastal tourism destinations in Guangdong-Hong Kong-Macao Bay Area are mainly positive emotions; From the perspective of social semantic network and revisiting intention, the overall image of coastal tourism destination in Guangdong-Hong Kong-Macao Bay Area is relatively positive, but there are also some negative perception elements. The purpose of this study is to provide some suggestions for the development of domestic coastal tourism destinations.
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Published In
May 2021
218 pages
ISBN:9781450389808
DOI:10.1145/3469968
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Published: 06 October 2021
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ICBDC 2021
ICBDC 2021: 2021 6th International Conference on Big Data and Computing
May 22 - 24, 2021
Shenzhen, China
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