Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Spatial Distribution, Influencing Factors and Suitability Evaluation of Rural Tourism - An Example from Guizhou, China
Clarifying the spatial distribution, influencing factors, and spatial suitability of rural tourism is of great significance for the industry authorities to optimize the layout and practitioners to select sites scientifically. Using 1200 tourist villages in Guizhou Province as the research sample, the spatial distribution, influencing factors, and suitability of tourist villages are studied using the Nearest Neighbor Index, GeoDetector, and Suitability Evaluation Model. It is found that: the spatial distribution of tourist villages is neither random nor dispersed but shows a significant tendency to cluster in a specific local space. Multiple factors significantly influence the spatial heterogeneity of tourist villages. Distance to tourist attractions, accessibility to urban areas, distance to ethnic villages, distance to ecological villages, distance to main rivers, and distance to featured agri-products are the major factors affecting the spatial heterogeneity of tourist villages. Tourist villages mainly surround tourist attractions, neighboring cultural villages, conveniently accessible to urban areas, close to ecological villages, along with main rivers, and nearby featured agri-products. And the tourism village distribution is remarkably correlated with the above factors. It presents a distribution consistent with distance decay. It is estimated that the area suitable for developing rural tourism in Guizhou is limited. The highly suitable, relatively suitable, and generally suitable areas for developing rural tourism are only about 1.38%, 6.95%, and 11.35% of the total area, respectively. Approximately 80.32% of the area in Guizhou is still not suitable for developing rural tourism.
Spatial Distribution, Influencing Factors and Suitability Evaluation of Rural Tourism - An Example from Guizhou, China
Clarifying the spatial distribution, influencing factors, and spatial suitability of rural tourism is of great significance for the industry authorities to optimize the layout and practitioners to select sites scientifically. Using 1200 tourist villages in Guizhou Province as the research sample, the spatial distribution, influencing factors, and suitability of tourist villages are studied using the Nearest Neighbor Index, GeoDetector, and Suitability Evaluation Model. It is found that: the spatial distribution of tourist villages is neither random nor dispersed but shows a significant tendency to cluster in a specific local space. Multiple factors significantly influence the spatial heterogeneity of tourist villages. Distance to tourist attractions, accessibility to urban areas, distance to ethnic villages, distance to ecological villages, distance to main rivers, and distance to featured agri-products are the major factors affecting the spatial heterogeneity of tourist villages. Tourist villages mainly surround tourist attractions, neighboring cultural villages, conveniently accessible to urban areas, close to ecological villages, along with main rivers, and nearby featured agri-products. And the tourism village distribution is remarkably correlated with the above factors. It presents a distribution consistent with distance decay. It is estimated that the area suitable for developing rural tourism in Guizhou is limited. The highly suitable, relatively suitable, and generally suitable areas for developing rural tourism are only about 1.38%, 6.95%, and 11.35% of the total area, respectively. Approximately 80.32% of the area in Guizhou is still not suitable for developing rural tourism.
Spatial Distribution, Influencing Factors and Suitability Evaluation of Rural Tourism - An Example from Guizhou, China
Lecture Notes in Civil Engineering
Weng, Chih-Huang (Herausgeber:in) / Xiang, Yan (Autor:in) / Zhao, Junwei (Autor:in) / Hou, Yanlin (Autor:in)
International Conference on Advances in Civil and Ecological Engineering Research ; 2023 ; Macau, China
31.08.2023
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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