Comparison of Cluster Analysis Methods for Assessing the Tourist Attractiveness of Regions
https://doi.org/10.26794/2226-7867-2025-15-2-40-49
Abstract
This article is devoted to a comparative analysis of cluster analysis methods used to assess the tourist attractiveness of territories . The relevance of the study is due to the growing role of the tourism industry in regional development and the need to improve the methods for assessing the competitiveness of tourist clusters . Modern approaches to the analysis of the tourist attractiveness of territories are diverse, but their effectiveness and versatility remain a subject of debate . In this regard, it is important to identify the most relevant methods and determine the possibilities of their integration into complex assessment systems . The purpose of the study is to determine the strengths and weaknesses of various cluster analysis methods, identify the most effective approaches to assessing tourist attractiveness, and develop recommendations for creating an integrated methodology that combines the best elements of existing approaches . The research methodology is based on analytical and comparative approaches, including an analysis of existing methods, their classification, and the identification of patterns in the assessment of tourist territories . The work uses methods of analysis and synthesis, comparative and classification methods, as well as a case study method to determine the most successful solutions .
About the Authors
S. M. KuleshovRussian Federation
Sergey M. Kuleshov — Cand. Sci (Social), Assoc. Prof. at the Department of Sociology, Faculty of Social Sciences and Mass Communications, Financial University under the Government of the Russian Federation.
Moscow
D. S. Tkacheva
Russian Federation
Dar’ya S. Tkacheva — Magistrant, Financial University under the Government of the Russian Federation.
Moscow
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Review
For citations:
Kuleshov S.M., Tkacheva D.S. Comparison of Cluster Analysis Methods for Assessing the Tourist Attractiveness of Regions. Humanities and Social Sciences. Bulletin of the Financial University. 2025;15(2):40-49. (In Russ.) https://doi.org/10.26794/2226-7867-2025-15-2-40-49