LU Binbin, TIAN Xiaoxi, QIN Sixian, SHI Yilin, LI Jiansong. Urban Land Resources Carrying Capacity Evaluation of Wuhan with Geographically Weighted Techniques[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20220778
Citation: LU Binbin, TIAN Xiaoxi, QIN Sixian, SHI Yilin, LI Jiansong. Urban Land Resources Carrying Capacity Evaluation of Wuhan with Geographically Weighted Techniques[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20220778

Urban Land Resources Carrying Capacity Evaluation of Wuhan with Geographically Weighted Techniques

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  • Received Date: December 24, 2023
  • Available Online: January 24, 2024
  • Objective: With the rapid urbanization occurring in China, urban land resource has become a key part in urban development, and attracted more and more attentions. However, global methods were traditionally adopted for its carrying capacity evaluation and analysis, which largely ignored the spatial heterogeneities or non-stationarities in the data relationships. Method: In this study, we proposed a technical framework to evaluate and analyze the urban land carrying capacity with geographically weighted (GW) techniques from local perspective. We exemplified this framework with a case study in Wuhan. In details, we adopted GW summary statistics, GW principal component analysis and GW regression to conduct the evaluation and analysis. . Results: Results show that: the comprehensive pressure of land carrying capacity shows a decaying trend from the city center to the outside areas, to which population density and floor area ratio contribute the most. Moreover, different factors present spatially varying influences on the comprehensive pressure of land carrying capacity. Conclusion: The proposed framework with GW techniques works well on evaluating and analyzing urban land carrying capacity from local perspective, and its evolution is still ongoing with more local techniques involved, which makes it be applicable in more cases and scenarios .
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