The spatial distribution and influencing factors of key villagesin rural tourism in China
ZHU Yuanyuan1,2， ZHOU Xiaoqi1,2， CHEN Siyun1,2， TU Zhenfa1,2
1.Key Laboratory for Geographical Process Analysis &Simulation Hubei Province， Central China Normal University， Wuhan 430079， China；2. Academy of Wuhan Metropolitan Area， Hubei Development and Reform Commission & Central China Normal University， Wuhan 430079， China
Abstract：The key village of rural tourism is an important starting point to promote the overall revitalization of rural tourism. Based on this， in this paper the first batch of key villages of rural tourism in China are taken as the research object， and the spatial distribution characteristics and influencing factors of these villagesare analyzed using ArcGIS spatial analysis， mathematical statistics analysis and other methods. The results are summarized as follows. 1) As a whole， the key villages of rural tourism in China are bounded by “Hu Line”， showing the agglomerative distribution characteristic of “Dense in the east while sparse in the west”. Relying on “central city-urban agglomeration-key tourism development zone”， the area is concentrated and distributed in contiguous areas. At the provincial level， the spatial distribution density varies greatly. And the fractal characteristics of these villages are obvious and the fractal structure is complex. 2) As a unique tourism and cultural resource， the key villages of rural tourism are mainly distributed in the economically and culturally developed agricultural areas of northeast China， the sub-cultural areas of Loess plateau， South of the Five Ridges sub-cultural areas， Kanto sub-cultural areas and the sub-cultural areas of southwest China.3) The number of key villages in rural tourism decreases with the elevation rise， which has the characteristics of obvious distribution along the river and the seashore. The spatial distribution density of key rural tourism villages is positively correlated with the level of economic development. Also， the spatial distribution density and the quality level of population jointly drive the development of population distribution.
2020, Vol. 54 
