268 / 2023-10-04 20:13:20

Identification and analysis of Production-Living-Ecological Space in mining city based on Multi-source Geospatial Data—a case study of Xuzhou City

Production-Living-Ecological Space,mining,Geospatial Data

Mining cities are urban centers that have emerged and thrived primarily due to  mineral resource extraction. The rapid expansion of mining activities has propelled urban development, albeit with the inevitable emergence of various environmental challenges. Mining cities have become focal points where issues related to resources, environment, and population are particularly acute. In China, Production-Living-Ecological Space(PLES) is an important index of urban development and land planning in the new era. The identification and analysis of PLES is still a relatively advanced research in this field. This study investigates the changes in the PLES under the influence of human activities in mining cities, offering a fresh perspective and theoretical support for the rational use of land and space in these regions. In this study, we proposed a PLES identification method that combines Point of Interest (POI) data and Land Cover (LC) data. By applying the method, we respectively identified the PLES in Xuzhou City for 2012, 2018, and 2022. Based on the PLES identification results, we further analyzed the spatial-temporal pattern evolution of PLES from three aspects: area changes, spatial dynamic attitude and spatial transfer. The final results shows that: (1)In the Urban Built-Up Areas(UBUA) of Xuzhou City, there is a reduction in living spaces and production spaces but an increase in ecological spaces. Various dual-function spaces and mixed-use spaces are on the rise. In the Non-Urban

Built-Up Areas(NUBUA), the relative increase in the area of ecological spaces is the most significant, with an approximately 75.05% growth rate. Xuzhou City has seen an increase in the proportion of production and ecological functions, contributing to the continuous enhancement of industrial and ecological benefits.(2)In UBUA, the main conversion was caused by the differences in production function proportions within the spatial identification units. While in NUBUA, the ecological space increased greatly, indicating that the remarkable success of Xuzhou's ecological city construction and restoration efforts and the ecological transformation in Xuzhou City had achieved remarkable results.(3)The development of multi-functional space in Xuzhou City was advancing rapidly, accompanied by a notable increase in the complexity of urban space and a growing integration of the relationships between living, production, and ecological activities. This study proves the feasibility of combining POI data and LC data in PLES spatial identification. It provides an exploratory analysis of Xuzhou City, a mining city, from the perspective of the PLES. The results can provide a scientific reference for the utilization of spatial resources and the coordinated development of all regions in Xuzhou city.