Abstract
This paper extracted the land use data in the Tiexi industrial relocation area, Shenyang, China, between 2004 and 2019 from Google Earth imagery. After visual interpretation and extraction, GIS, transfer matrix, landscape pattern were used to analyze the image data. A driving force evaluation index system was established to conduct correlation analysis revealing the driving forces of land use change. The area of the different land use types increased and decreased to various extents. Transportation land expanded in areas with a trend dynamic degree (K) of 0.42, industrial land reduced in areas with a K of − 0.93, green land expanded in areas with a K of 0.53, water land expanded in areas with a K of 0.29, unused land reduced in areas with a K of − 0.71, residential land expanded in areas with a K of 0.69, and other land showed no clear change in areas with a K of 0.03. Almost all land types were converted. Different land use types showed different degrees of landscape fragmentation; the overall landscape complexity of the industrial area decreased, the patch richness decreased, and the landscape fragmentation increased. A close relationship was found between the change of land use type and the architectural history protection, disposable income, regional population and public service accessibility in the driving forces of economic and social development.
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The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.
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Xu, S., Cheng, Q. Driving forces of land use change in the Tiexi old industrial relocation area, Shenyang, China. Int. J. Environ. Sci. Technol. 19, 10999–11012 (2022). https://doi.org/10.1007/s13762-021-03864-4
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DOI: https://doi.org/10.1007/s13762-021-03864-4