Author(s)

BoZhi Yang^*, XinYu Gu, ShiRong An, KeXin Song, ShiMan Wang, Xian Qiu, XiangMing Meng

Affiliation(s)

School of Mathematics and Statistics, Anyang Normal University, Anyang 455000, Henan, China.

Corresponding Author

BoZhi Yang

ABSTRACT

Amid fierce competition in the international tourism market, enhancing the tourism competitiveness of Chinese cities has become a pressing issue. However, existing studies often face limitations in evaluation methodologies and indicator selection. This study proposes an integrated evaluation model combining the Entropy Weight Method, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Grey Relational Analysis (GRA) to assess and rank the attractiveness of Chinese cities to foreign tourists. Using data from 352 cities, the analysis incorporates six critical factors: city scale, environmental protection, cultural heritage, transportation accessibility, climate, and cuisine. The data underwent preprocessing through linear regression and Kaiser-Meyer-Olkin (KMO) tests, with Principal Component Analysis (PCA) and Locally Linear Embedding (LLE) employed as dimensionality reduction techniques for different data categories based on R2 values. To ensure consistency across variables, normalization was applied, and indicator weights were objectively calculated using the Entropy Weight Method. The integrated TOPSIS and GRA approach was then utilized to evaluate and rank the 352 cities, ultimately deriving their composite scores. The findings reveal that the top 37 towns exhibit relatively concentrated scores, while scores for subsequent cities show a gradual downward trend. This study provides a systematic evaluation framework and decision-making support for Chinese cities to develop differentiated strategies in the global tourism market.

KEYWORDS

Tourism competitiveness; Entropy Weight Method; TOPSIS; GRA; PCA; LLE

CITE THIS PAPER

BoZhi Yang, XinYu Gu, ShiRong An, KeXin Song, ShiMan Wang, Xian Qiu, XiangMing Meng. Assessment of Chinese cities' international tourism competitiveness using an integrated entropy-TOPSIS and GRA model. Trends in Social Sciences and Humanities Research. 2025, 3(1): 8-12. DOI: https://doi.org/10.61784/tsshr3129.

REFERENCES

[1] Zhou Chengming. Research on the High-Quality Development Evaluation of Urban Tourism Based on Entropy Weight-TOPSIS Method: A Case Study of 21 Cities in Guangdong Province. Journal of Southwest China Normal University (Natural Science Edition), 2021, 46(07): 58-66.

[2] Yang K, Jia Q, Feng C, et al. Force model of robot bone grinding based on finite element analysis. Measurement, 2025, 243: 116124.

[3] Cao, P. On the Evaluation of Coordination between Urban Tourism and Urban Development Based on Entropy Weight-TOPSIS Method: A Case Study of 13 Cities in Jiangsu Province. Modern Urban Studies, 2017, (07), 124-129.

[4] Xiaoyan Y, Min L, Changbiao Z. Evaluation of rural tourism development level based on entropy-weighted grey correlation analysis: the case of Jiangxi Province. Grey Systems: Theory and Application, 2023, 13(4): 677-700.

[5] Yang Meng, Hu Daohua. Research on High-Quality Development of Tourism in the Central Six Provinces Based on Entropy Weight-TOPSIS Method. Journal of Nanyang Normal University, 2024, 23(01): 9-16.

[6] Yateh M, Li C, Li F, et al. Understanding the influence of energy and chemical use on water treatment plants carbon emissions accounting. Journal of Water Process Engineering, 2025, 69: 106669.

[7] Kadhum H A, Hammood M K, Arif M A. Assessment of Two Extraction Methods LLE and QUEChERS to Determine Pesticides Residues in Vegetables by Gas Chromatography. IOP Conference Series: Earth and Environmental Science, 2024, 1371(6): 62034.

[8] Chembedu G, Manu P V. Investigation and optimisation of performance and emission data of CI engine ternary blends under distinct conditions. Fuel, 2025, 383: 133823.