Version 1
: Received: 21 June 2023 / Approved: 21 June 2023 / Online: 21 June 2023 (03:48:20 CEST)
How to cite:
Gong, Y.; Chu, L.; Li, J. Spatial Differentiation and Optimization of Rural Residential Land on the Grand Canal (China) Based on Remote Sensing Data. Preprints2023, 2023061475. https://doi.org/10.20944/preprints202306.1475.v1
Gong, Y.; Chu, L.; Li, J. Spatial Differentiation and Optimization of Rural Residential Land on the Grand Canal (China) Based on Remote Sensing Data. Preprints 2023, 2023061475. https://doi.org/10.20944/preprints202306.1475.v1
Gong, Y.; Chu, L.; Li, J. Spatial Differentiation and Optimization of Rural Residential Land on the Grand Canal (China) Based on Remote Sensing Data. Preprints2023, 2023061475. https://doi.org/10.20944/preprints202306.1475.v1
APA Style
Gong, Y., Chu, L., & Li, J. (2023). Spatial Differentiation and Optimization of Rural Residential Land on the Grand Canal (China) Based on Remote Sensing Data. Preprints. https://doi.org/10.20944/preprints202306.1475.v1
Chicago/Turabian Style
Gong, Y., Lei Chu and Jintao Li. 2023 "Spatial Differentiation and Optimization of Rural Residential Land on the Grand Canal (China) Based on Remote Sensing Data" Preprints. https://doi.org/10.20944/preprints202306.1475.v1
Abstract
Land use is an embodiment of human socioeconomic activities and represents a bridge between these activities and natural systems. Through social activities, humans transform land use to promote social and economic development and improve production, living conditions, and eco-logical functions of land. Rural residential land represents a space for rural residents to reside in and exhibits spatial characteristics that evolve over time, which is proof of rural socioeconomic development. This paper observes rural residential land in 21 cities on the Grand Canal and analyses its spatial differentiation. Then, it explores the driving factors of this land using spatial grid analysis and the geographic detector model. Lastly, it proposes three different forms of rural residential land based on the results. The study found that: (1) the change of rural residential land in the northern part of the Grand Canal was more volatile than that in the southern part. The change of rural residential land from 1990 to 2020 conformed to the pattern of cultivated land - rural residential land - urban construction land; (2) Based on the driving factors of rural residen-tial land, the land is divided into one-dimensional cities, two-dimensional cities and three-dimensional cities. Circular, linear, and scattered cities of different sizes were affected by socioeconomic factors, transportation accessibility, and the natural environment, respectively; and (3) Finally, according to the spatial differentiation characteristics and the driving factors of rural residential land, the study proposes the construction of three types of villages through the strate-gies of constructing large-scale villages, relocating and reconstructing new villages, and con-structing high-quality villages, respectively. Enhancing the scientific planning of rural residential land and its efficiency can offer the protection of agricultural land and the integration of urban and rural areas in the new era.
Keywords
Grand Canal; rural residential land; remote sensing data; driving factors
Subject
Social Sciences, Geography, Planning and Development
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
