Organic destination imagery and social media: Mapping tourism dynamics across China's Greater Bay Area cities.

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  • Additional Information
    • Alternate Title:
      原始目的地意象和社交媒体: 描绘中国粤港澳大湾区城市的旅游动态.
    • Subject Terms:
      CITIES & towns; SOCIAL media; TOURISM; TOURIST attitudes; USER-generated content; BIG data
    • Subject Terms:
      CHINA; MACAU (China : Special Administrative Region)
    • Abstract:
      Drawing upon Gunn's formative concept of organic destination image this study proposes an application and extension in a contemporary regional context. Noting that the formation of destination image now emanates from tourists as well as from tourism businesses, the researchers use a prominent Chinese social media platform – the Red – to evaluate tourist/user generated content on the destination image of the '9 + 2' Greater Bay Area cities in southern China (9 mainland cites plus Macao and Hong Kong SARs). The authors employed computer-aided lexical analysis on over 10,000 posts extracted from the Red. Four clusters of designative and prescriptive image are revealed. The study contributes to knowledge by applying big data analytics to study destination image from the tourist perspective (user-generated organic image), especially in a regional context. The insights offer prospective benefits to destination planners at local and regional levels by showing the merits of mobilizing tourism resources across multiple cities. [ABSTRACT FROM AUTHOR]
    • Abstract:
      借鉴Gunn关于原始目的地形象的基础概念, 这项研究将其应用在当代的区域环境中。注意到目的地形象既来自游客又来自旅游企业, 研究人员评估了中国著名社交媒体平台——小红书上的游客/用户生成的内容。他们探讨了中国南部大湾区的 '9 + 2' 个城市的目的地形象(大湾区由9个大陆城市和澳门, 香港特别行政区组成) 。作者对超过一万条帖子进行了电脑计算机辅助的词汇分析, 提出了四个设计性和规定性的形象群组。该研究通过将大数据分析应用于游客角度的目的地形象研究 (即用户生成的原始目的地形象), 特别是在区域性目的地研究中, 作出了贡献。该研究提出的见解展示了调动多个城市旅游资源的优点, 这有助于地方及区域层面的目的地规划。 [ABSTRACT FROM AUTHOR]
    • Abstract:
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