It is widely recognized that brownfield regeneration to green space is a sustainable form of urban development. However, it is essential to choose those brownfields that have the greatest potential to be integrated into urban green infrastructure (GI). This paper addresses how to quantitatively assess the ecological potential of coal mining brownfields at the city level, and looks at how these brownfields can be best adapted to enhance the GI system. Taking Xuzhou as an example, an ecological potential assessment method for brownfield regeneration to green space is established considering both its ecological importance and the capacity of maintaining GI connectivity. The results show that more than half of the coal mining brownfields have relatively higher ecological importance values, and only four patches play an important role in maintaining GI connectivity. The final ecological potential values of brownfield regeneration to green space are obtained by overlaying the values of ecological importance and the capacity values of maintaining GI connectivity. Then, all the brownfields are divided into five groups according to their ecological potential values, which are significantly different in each group. Around 51.35% of the brownfields have a high or very high potential for restoration to GI, which are distributed in the southeastern part of the western mining area and the central part of the eastern mining area. The presented method can assist reclamation scientists and urban planners in decision making based on quantitative analysis.

Mining activities have contributed to the growth of the city, but also raised non-negligible eco-geological environmental issues that threaten ecological safety. Ecological security pattern (ESP), as an important grip on the ecological restoration and protection of national land space, helps to balance mining activities and ecological protection in coal resource-based cities. Taking Huaibei City as a study area, we applied the ESP research paradigm: an ecosystem “function-structure” conceptual framework was developed to identify ecological sources, the “coal mining subsidence—economic activities” framework was used to revise ecological resistance surface, and the circuit theory was used to extract ecological corridors. Then, key areas for ecological restoration and protection were identified, including ecological pinch points, barrier points, and fracture points. Finally, the pattern and strategies for ecological restoration and protection were proposed. Study results show that there were 51 ecological sources, covering an area of 152.75 km²; 111 ecological corridors were extracted with 6000 as truncation threshold; 17 pinch points, 75 barrier points, and 117 fracture points were identified. Ecological restoration and protection patterns of “one axis, two shields, four zones, eight belts and multiple corridors”, and strategies for key areas were proposed. The results of the study are important for the sustainable development of coal-resource-based cities.

The aim of this study was to reveal the spatiotemporal pattern of the supply and demand of ecosystem services (ESs), as well as the significant driving factors for understanding the impact of human activities on the natural ecosystem. To provide a scientific basis for formulating regional sustainable development strategies that enhance human well-being, resource-based cities in the Yellow River Basin (YRB) were selected as the case study. The supply and demand of ecosystem services in these cities from 2000 to 2020 were measured. The spatiotemporal evolution of the supply-demand relationship was illustrated by taking its coordination degree. In addition, geographical detector and geographically weighted regression (GWR) models were applied to quantify the spatiotemporally varying effects of natural and socioeconomic factors on the ES supply--demand relationship. The results showed that resource-based cities in the YRB were experiencing expansion in supply and demand overall, but the supply-demand relationship tended to be tense. The northwest YRB had higher coordination values of supply-demand, while lower values were found in the southeast YRB. Moreover, the relationship between supply and demand was significantly affected by natural and socioeconomic factors, such as elevation, slope, precipitation, land-use type, population density, and gross domestic product (GDP) per land. Furthermore, the GWR model suggested that the effects of driving factors on the supply-demand relationship had notable spatial heterogeneity. The coordination of ES supply-demand in the resource-based cities of southeast YRB was mainly influenced by socioeconomic factors, while that of the west YRB was mainly influenced by natural factors. Our study suggested that it is necessary to enhance the awareness of environmental protection, pay attention to ecological restoration, and avoid unreasonable human disturbance to the ecosystem.

Rapid urbanization and industrialization have had a range of effects on urban form and land use, especially in resource-based cities. Previous research has predominantly focused on the analysis of urban compactness or land-use efficiency individually, overlooking their interplay. In this study, we propose a coupled and coordinated research framework for urban compactness (UC) and urban land-use efficiency (ULUE). We analyze the UC and ULUE, as well as the degree and types of coupling and coordination (CCD) between them, in 119 counties and districts rich in coal resources within Shanxi Province. The findings reveal a declining trend in UC in Shanxi Province over time, with coal-resource-based cities exhibiting lower compactness than non-coal-resource-based cities. ULUE has shown stable development during the study period. The CCD between UC and ULUE exhibit spatial and urban typological heterogeneity. Further analysis demonstrates that the CCD types mainly manifest as the lagging development of UC. This research provides a foundation for achieving harmonious development between urban spatial structure and land-use structure and offers new perspectives for the sustainable development of resource-based urban regions.