Study on Geographical Regression Analysis of Driving Factors of Land Spatial Planning for Urban Development

¹ Ji’nan Research Institute of Geotechnical Investigation & Surveying, Ji’nan, Shandong Province, China;
² Engineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou, Jiangsu Province, China.

^* Corresponding author: lqchangmx@126.com

Abstract

This paper integrates the factors of urban regulatory detailed planning, land use planning, whole life cycle of land resource management and project construction approval, unifies the spatial datum and constructs the Driving Factors System of the Land Spatial Planning (DFSLSP) through data fusion. Using the core idea of Spatial Information Multi-level Grid and according to the irregular grid architecture, the irregular multi-level grid level is associated with spatial control zoning and land use unit, and the Driving Factors Multi-level Grid of Land Spatial Planning (DFMGLSP) is simulated and established. On this basis, the concept, size and state of plot unit are redefined. Through the analysis results of Geographic Weighted Regression(GWR) examples, for the plots whose urban development status is seriously underestimated or overestimated, after superimposing the driving factors layers, analyze the spatial relationship between them and the plots with low reliability, so as to obtain the causes of errors, and screen out the land use planning permission and project planning permission as the driving factors affecting urban construction and development, and four factors, such as the “two regulations” conflict, approval but not supply, inefficiency and idle land, are the resistance factors affecting urban construction and development. All these provide new ideas and new methods for assisting the government in planning control and guiding urban development.