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Article

Spatiotemporal Dynamics and Regional Disparities of Urban Resilience in China’s Mining Cities

1
School of Public Administration, China University of Geosciences (Wuhan), Wuhan 430074, China
2
Yangtze River Basin Land and Space Governance and Green Development Research Institute, China University of Geosciences (Wuhan), Wuhan 430074, China
3
Huangshi City Cultural Relics Protection Center, Huangshi 435000, China
*
Author to whom correspondence should be addressed.
Land 2026, 15(2), 348; https://doi.org/10.3390/land15020348
Submission received: 15 January 2026 / Revised: 11 February 2026 / Accepted: 18 February 2026 / Published: 20 February 2026

Abstract

Building safe and resilient cities is a key objective of China’s urbanisation and a prerequisite for high-quality development. This study assesses urban resilience in 73 mining cities from 2014 to 2023 using a composite index system (30 indicators) structured around robustness, resistance, and recovery. We integrate ARIMA-based forecasting, kernel density estimation, and Dagum Gini decomposition to characterise spatiotemporal dynamics and quantify regional inequality. Urban resilience increases steadily over the study period and can be characterised by three sequential stages, with further gains forecast for 2024–2030. Spatially, high-resilience cities shift from a dispersed pattern to belt-like and clustered agglomerations, consistent with an increasingly stratified centre–periphery structure. Inequality is driven primarily by between-region disparities: the East performs best, followed by the Central region, whereas the West and Northeast lag behind, revealing a pronounced gap between the Northeast and the East, alongside relatively convergent Central–West trajectories. These patterns are associated with interacting differences in location and market development, fiscal capacity and transition pathways, infrastructure endowment and ecological constraints, and institutional and demographic dynamics. The findings underscore the need for place-based regional coordination and targeted investments to strengthen recovery-related capacities.
Keywords: urban resilience; dynamic evolution; regional disparities; mining cities urban resilience; dynamic evolution; regional disparities; mining cities

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MDPI and ACS Style

Wei, H.; Liao, Q.; Yang, J.; Hu, X.; Zhang, D. Spatiotemporal Dynamics and Regional Disparities of Urban Resilience in China’s Mining Cities. Land 2026, 15, 348. https://doi.org/10.3390/land15020348

AMA Style

Wei H, Liao Q, Yang J, Hu X, Zhang D. Spatiotemporal Dynamics and Regional Disparities of Urban Resilience in China’s Mining Cities. Land. 2026; 15(2):348. https://doi.org/10.3390/land15020348

Chicago/Turabian Style

Wei, Hua, Qipeng Liao, Jie Yang, Xinsheng Hu, and Daojun Zhang. 2026. "Spatiotemporal Dynamics and Regional Disparities of Urban Resilience in China’s Mining Cities" Land 15, no. 2: 348. https://doi.org/10.3390/land15020348

APA Style

Wei, H., Liao, Q., Yang, J., Hu, X., & Zhang, D. (2026). Spatiotemporal Dynamics and Regional Disparities of Urban Resilience in China’s Mining Cities. Land, 15(2), 348. https://doi.org/10.3390/land15020348

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