Author
Listed:
- Yawei Hou
(School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China
School of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China
These authors contributed equally to this work.)
- Jiang Chang
(School of Architecture and Design, China University of Mining and Technology, Xuzhou 221116, China)
- Ya Yang
(School of Architecture and Urban Planning, Anhui Jianzhu University, Hefei 230601, China
These authors contributed equally to this work.)
- Yuan Yao
(School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei 230036, China)
Abstract
Background: The integration of mining and urban spaces in coal-resource-based cities holds significant implications for urban transformation and sustainable development. However, existing research lacks an in-depth analysis of its characteristics and driving factors. Methods: This study takes the central urban area of Huaibei City as a case, utilizing historical documents, POI data, and spatial analysis methods to explore the evolution patterns and influencing factors of mining–urban spatial integration. Standard deviation ellipse analysis was employed to examine historical spatial changes, while a binary logistic regression model and principal component analysis were constructed based on 300 m × 300 m grid units to assess the roles of 11 factors, including location, transportation, commerce, and natural environment. Results : The results indicate that mining–urban spatial integration exhibits characteristics of lag, clustering, transportation dominance, and continuity. Commercial activity density, particularly leisure, dining, and shopping facilities, serves as a core driving factor. Road network density, along with the areas of educational and residential zones, positively promotes integration, whereas water surface areas (such as subsidence zones) significantly inhibit it. Among high-integration areas, Xiangshan District stands as the most economically prosperous city center; Lieshan–Yangzhuang mining area blends traditional and modern elements; and Zhuzhuang–Zhangzhuang mining area reflects the industrial landscape post-transformation. Conclusions : The study reveals diverse integration patterns under the synergistic effects of multiple factors, providing a scientific basis for optimizing spatial layouts and coordinating mining–urban development in coal-resource-based cities. Future research should continue to pay attention to the dynamic changes of spatial integration of mining cities, explore more effective integrated development models, and promote the rational and efficient use of urban space and the sustainable development of cities.
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