Research on the Spatial Pattern of High-Quality Tourism Rural Development and Its Influencing Factors: A Case Study of the Great Mount Huang District in Anhui Province

Chao Liu and Yiyu Chen ()
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Chao Liu: School of Architecture and Urban Planning, Anhui Jianzhu University, Hefei 230601, China
Yiyu Chen: School of Architecture and Urban Planning, Anhui Jianzhu University, Hefei 230601, China

Sustainability, 2025, vol. 17, issue 19, 1-26

Abstract: Tourism villages represent a key breakthrough for achieving rural revitalization and integrated urban–rural development. By analyzing the spatial patterns of tourism villages in the Great Mount Huang district and their influencing factors, this study provides a scientific foundation for the high-quality development of rural tourism and for the enhancement and sustainable management of regional leisure tourism systems. Using methods such as the nearest neighbor index, kernel density, geographic detector, and geographically weighted regression analysis, the results reveal: (1) the spatial distribution of tourism villages in the Great Mount Huang district exhibits significant clustering and unevenness, forming a spatial pattern characterized by “one cluster, two cores, and three points”; Anqing City shows the most concentrated and uneven distribution of tourism villages; (2) the number of Grade A tourist attractions and cultural resources are dominant factors; tourism culture and natural environment are the most influential dimensions affecting the spatial distribution of tourism villages in the Great Mount Huang district; the development of rural tourism requires consideration of multiple aspects and factors, emphasizing multidimensional coordination; (3) the average slope and the number of Grade A tourist attractions exhibit the greatest spatial variability, while the average elevation shows the lowest spatial variability; average elevation, average slope, per capita disposable income, the number of Grade A tourist attractions, and cultural resources all show a positive correlation with the distribution of tourism villages.

Keywords: Great Mount Huang; tourism villages; spatial distribution features; influencing factors; geographic detector; geographically weighted regression (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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