Abstract
Urbanization interacts with land use through resource consumption and space encroachment. Clarifying the spatial correlations of the interactive relationship between urbanization and land use, along with their spatiotemporal dynamics, is of vital importance for addressing the complex interplay between urban development and land resources and identifying regional differences. However, previous studies have not sufficiently explored these issues. Herein, we introduce a coupling coordination degree (CCD) model and present the results of exploratory spatiotemporal analyses involving in-depth investigation of the CCD between urbanization quality and land-use intensity in 290 Chinese cities. The results demonstrate that the CCD for most cities was at the transition-period or basic-coordination stage. The dynamics of the spatial correlation of the CCD was found to increase from the east to the central and western regions, but this was found to decline overall. The movement direction and spatial dependence of the local spatial structure of the CCD exerted a dominant synergistic effect. The transition of the spatial correlation was mainly Type I (stable local and neighboring morphology), showing strong transfer inertia, path dependence, and locking features. Dynamic transitions occurred more in central and eastern cities. The results suggest that more cross-city cooperation could contribute to moderate land-resource exploitation for high-quality urbanization.
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Foundation: National Natural Science Foundation of China, No.42371286, No.42001206; National Social Science Foundation of China, No.22CJY041; The Key Laboratory for Law and Governance of the Ministry of Natural Resources, No.CUGFP–1904; School of Public Administration at China University of Geosciences, No.CUGGG–2002
Author: Xu Feng (1988–), Professor, specialized in spatial analysis and prediction for land use.
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Xu, F., Wang, H., Zuo, D. et al. How does the coupling coordination relationship between high-quality urbanization and land use evolve in China? New evidence based on exploratory spatiotemporal analyses. J. Geogr. Sci. 34, 871–890 (2024). https://doi.org/10.1007/s11442-024-2231-1
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DOI: https://doi.org/10.1007/s11442-024-2231-1