Author(s)

Feng Yunchao ¹, Du Jiusheng ¹, Wang Yu ¹, Zhao Beibei ¹

Affiliation(s)

¹ School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, Henan, 454003, China

Corresponding Author

Du Jiusheng

ABSTRACT

In this paper, the spatial distribution situation and influencing factors of 585 rural tourism characteristic villages in Henan Province are analysed based on global autocorrelation index, average nearest neighbor index, kernel density analysis and Geodetector, and the following conclusions are drawn: (1) The spatial autocorrelation index of rural tourism characteristic villages in Henan Province is 0.224, the average nearest neighbor index is 0.636, and the coefficient of variation is 241.5%. The agglomeration characteristic of northern Henan, central Henan and southern Henan are obvious. It has the spatial distribution characteristic of ' near mountains, around cities and along roads '. (2) The results of factor detector show that the number of road mileage, tourism income, number of A-level scenic spots, expenditure on agriculture, forestry and water affairs and air quality have a great influence on the spatial distribution of rural tourism characteristic villages. (3) The results of interaction detector show that the interaction results of influencing factors are all enhanced, and the interaction between GDP and tourism income is the strongest. (4) The results of ecological detector show that the influence of river system (X₂), the number of road miles (X₅), the number of A-grade scenic spots (X₆) and income from tourism (X₁₁) are significantly different from the other factors.

KEYWORDS

Henan Province, Rural Tourism, Spatial Distribution, Influencing Factors, Optimal Parameters-based Geographical Detector

CITE THIS PAPER

Feng Yunchao, Du Jiusheng, Wang Yu, Zhao Beibei, Analysis on Spatial Distribution and Influencing Factors of Rural Tourism Characteristic Villages in Henan Province. Tourism Management and Technology Economy (2023) Vol. 6: 1-11. DOI: http://dx.doi.org/10.23977/tmte.2023.060201.

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