Spatial Difference Studies and Driving Force Analysis of Rural Settlements in the Northwest Sichuan Plateau

• Main Authors: Deng, L. (Author), Duan, L. (Author), Li, A. (Author), Lu, H. (Author), Meng, J. (Author), Tan, Y. (Author), Xiang, M. (Author), Yang, J. (Author)
• Format: Article
• Language: English
• Published: MDPI 2023
• Subjects: Geodetector; Northwest Sichuan Plateau; rural settlements; spatial distribution
• Online Access: View Fulltext in Publisher; View in Scopus

 The scattered, isolated, and closed nature of rural settlements in northwest Sichuan is a constraint on the high-quality development of rural areas. Determining the spatial differences and driving forces of rural settlements in this area is the essential prerequisite for promoting rural revitalization. In this paper, the methods of the nearest neighbor index, the Voronoi diagram, and the Geodetector are used to analyze the spatial distribution characteristics of rural settlements and explore the driving factors of their spatial differences. The key findings are as follows. (1) The rural settlements exhibit the feature of “an extensive dispersion with localized concentrations”. The spatial distribution is in the shape of dots, strips, and branches along the river valley. (2) The number and land use scale of rural settlements decreases from east to west. The spatial differences in settlement morphology have a clear feature that the settlement morphology along the river and road is more complex, while the settlement morphology in the plateau area and the river valley is relatively regular. (3) Mountain disasters and arable land resources have the greatest impact on the spatial differences of the settlements. The location and form of the settlements are greatly affected by the altitude and accumulated temperature, and the settlement scale is significantly affected by the traffic conditions and the scenic spots. The mutually reinforcing role of the driving factors is remarkable, especially the reinforcing effects of the enhancement between the arable land resources and other factors. The research results provide data support for the reconstruction, improvement, and high-quality development of rural settlements in this region. © 2023 by the authors.