Study on the change factors of construction land in Taiyuan by integrating geographic detector and geographically weighted regression

doi:10.13474/j.cnki.11-2246.2022.0150

Abstract

Abstract: Accurate identification of the change of construction land in the process of urbanization and the driving force behind it is of great significance to the subsequent sustainable development of cities. Based on remote sensing images from 2000 to 2020, this study studied the spatial distribution changes of construction land in Taiyuan city, and then combined the geographic detector model and the geographically weighted regression model to study the driving factors influencing the spatial distribution of construction land in the study area, and the following conclusions were reached:In addition to the policy factors, the existing urban construction land spatial distribution changes are also affected by elevation, traffic, GDP, population and other factors. The distribution of urban construction land change in Taiyuan is not only the result of the uniform, independent and direct effects of the four significant factors, such as GDP change, population change, altitude change and highway network density, but the product of the synergistic effects of the pairwise interaction of various factors with spatial heterogeneity. The results of this study are expected to provide a new way to study the driving forces of urban construction land. Key word:Taiyuan; geographic detector; geographically weighted regression; land use change; impact factors

Key words: Taiyuan, geographic detector, geographically weighted regression, land use change, impact factors

CLC Number:

P208

ZHANG Rui, LI Chaokui, YAO Siyu, LI Weigui. Study on the change factors of construction land in Taiyuan by integrating geographic detector and geographically weighted regression[J]. Bulletin of Surveying and Mapping, 2022, 0(5): 106-109,119.

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