Spatial differentiation characteristics and influence mechanism of key villages and towns in rural tourism in Xinjiang
HOU Jiannan1,2,3, HU Jing3, LI Zongqi1,2, SHI Xin1,2
1.College of Geographical Science and Tourism，Xinjiang Normal University， Urumqi 830017， China；2.Xinjiang Tourism Development Research Center ， Urumqi 830017， China；3.Wuhan Branch of China Tourism Academy， Wuhan 430079， China
Abstract：Rural tourism is a key path to promote rural revitalisation and achieve common prosperity. This paper takes the key villages and towns in rural tourism in Xinjiang as the research object， and adopts ArcGIS spatial analysis， GeoDa spatial measurement model and geodetector to systematically reveal its spatial differentiation characteristics and driving mechanism. The results show that： 1） the spatial distribution shows a pattern of ‘double core agglomeration in the north and south of Xinjiang， and random scattering in the east of Xinjiang’， forming the distribution characteristics of ‘single core-multiple clusters-ribbon’ with the urban agglomeration of the northern slopes of Tianshan Mountain and the urban agglomeration of the south of Xinjiang as the axes； 2） the spatial distribution is balanced in general at the scale of the whole territory， but there is a significant difference between the prefecture and municipalities， with a high degree of balance between the northern and southern territories， and unbalanced characteristics in the east of Xinjiang； Spatial autocorrelation analysis shows that the global positive correlation is significant， but the spatial distribution of local hot and cold spots is more random； 3） the influence mechanism demonstrates scale effects： At he county level， traffic location and natural conditions play a dominant role； At the village level， the natural environment， socio-economics， and ecological protection interact to form an integrated driving system， which is co-determined by the interplay of dominant， supporting， driving， safeguarding， and other factors. The conclusion of the study provides a scientific basis for optimising the spatial layout of rural tourism and promoting the coordinated development of the region.
2025, Vol. 59 
