学术简报丨《探索可持续发展中可持续旅游的知识结构和潜在研究领域:基于文本挖掘和语义网络分析》
摘要:The concept of sustainable tourism development is derived from sustainable development. Building tourism with the framework of sustainable development has become a necessary effective way. This study examined the abstracts and titles of 1783 sustainable development and 692 sustainable tourism development related papers from 2012 to 2021 as textual data sources through the Web of Science core database. Using text mining and semantic network as analysis methods, this paper summarizes eight main clusters of sustainable development and sustainable tourism development in the past 10 years. Based on this, this paper compares the differences between the two researches and explores four potential research areas in sustainable tourism development: (1) threats to sustainability; (2) ecology and health; (3) stakeholder cooperation and roles; and (4) tourism development planning. In addition, the visual network knowledge structure intuitively captures the relationship between the different keywords in the clustering, which provides an important reference value for broadening the future research direction of sustainable tourism development. 关键词:cluster themes; semantic network analysis; sustainability; sustainable development; sustainable tourism development; text mining
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