Spatio-Temporal Differentiation and Influencing Factors of Urban Ecological Resilience in Xuzhou City

Ting Zhang, Xiulian Wang (), Xinai Li, Xuan Zhu, Long Li and Longqian Chen
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Ting Zhang: School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China
Xiulian Wang: School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China
Xinai Li: School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China
Xuan Zhu: School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China
Long Li: School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China
Longqian Chen: School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China

Land, 2025, vol. 14, issue 5, 1-21

Abstract: Urban ecological resilience (UER) is vital for sustainable development, enabling cities to maintain stability in the face of environmental challenges. This study combined landscape pattern indices and spatial measurement methods, establishing a multi-scale linked “Resistance-Adaptation-Recovery (Res-Ad-Rec)” model chain to assess the UER of Xuzhou City, analyzed spatiotemporal changes using Moran’s I indices, and explored the influencing factors through the Multi-scale Geographically Weighted Regression (MGWR) model. Finally, the research framework of “three-dimensional assessment, spatial diagnosis, and mechanism analysis” was constructed to achieve a multi-dimensional dynamic analysis. The results showed the following: (1) UER declined from 2008 to 2022, with low-value areas expanding from the city center and high-value areas near water bodies. (2) The spatial autocorrelation of UER was significant, with a rise in Global Moran’s I index and the strongest spatial agglomeration effect observed in 2022. High–high and low–low clustering were the main characteristics of local spatial autocorrelation. (3) Population density and nighttime lighting intensity were major factors influencing the spatial distribution of UER in Xuzhou City. The findings can provide a useful reference for similar resource transition cities to explore the path of sustainable development.

Keywords: urban ecological resilience; spatial and temporal differentiation; influencing factors; land use (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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