Decision-Making on Reuse Modes of Abandoned Coal Mine Industrial Sites in Beijing Based on Environment-Economy-Society Matter-Element Models

Abstract

Redevelopment of abandoned coal mine industrial sites (ACMISs) has been one of the critical research topics in recent years. The ecological system of ACMISs, which involves environmental, economic, and social characteristics, is an environment-economy-society (EES) composite system. Many factors with conflicting effects are involved in the sustainable development of this system. The matter-element analysis method presented in this paper can transform counteracting problems among influencing factors into compatible problems. This analytical approach leads to a reduction of the uncertainty of these influencing factors and provides a suitable research method to solve the complexity when selecting the most suitable reuse mode of the ACMIS. In this study, eight state-owned ACMISs in the suburbs of Beijing were investigated, and a suitability evaluation index system based on the EES conceptual framework was built. Targeting four reuse modes, including the residential area, the park, the scientific research and office campus, and the business district, we established a matter-element decision-making model to evaluate the priority of reuse mode selections scientifically. The results of our calculations show that the optimal reuse mode for the Qianjuntai, Muchengjian, and Huapogen ACMISs is the park; for the Da’anshan and Changgouyu ACMISs is the business district; for the Datai ACMIS is the scientific research and office campus; and for the Wangping ACMIS is the residential area. Since the suitability level of reusing the Anjiatan ACMIS in any of the four reuse modes is relatively low, it is recommended to reserve it for governmental strategically reserved open space. These real cases demonstrate that the research method is feasible and can be applied to reuse mode decisions for similar abandoned coal mines.

Mathematical Evaluation on the Control of Mining-Induced Ground Subsidence in Thick Loose Strata

“…Social factors can be divided into preresearch degree (x 6 ), degree of urban planning (x 7 ), degree of integration (x 8 ), and economic and social benefits (x 9 ). 14,40 That is to say, in our application, n = 9. Here, a qualitative analysis of the preresearch degree, degree of integration, and economic and social benefits was required, and the results are shown in Tables 3−5.…”

“…Geographical factors included the maximum ponding depth ( x 1 ), degree of cultivation ( x 2 ), degree of forestation ( x 3 ), degree of aquaculture ( x 4 ), and degree of wetlands ( x 5 ). Social factors can be divided into preresearch degree ( x 6 ), degree of urban planning ( x 7 ), degree of integration ( x 8 ), and economic and social benefits ( x 9 ). , That is to say, in our application, n = 9. Here, a qualitative analysis of the preresearch degree, degree of integration, and economic and social benefits was required, and the results are shown in Tables – .…”

The Ecological Safety Assessment and Brand Communication of Ice-Snow Tourism Under the Internet of Things and Deep Learning

“…The DPSIR model aims to aid in comprehending and evaluating the impact of human activities on the environment, along with potential management and policy responses [20]. Additionally, the Environment-Economy-Society (EES) model emphasizes the interactions and influences among the three primary aspects: environment, economy, and society [21]. Ice and snow tourism ecosystems possess intricate natural, economic, and social attributes, forming a complex EES composite system.…”

An Assessment of Ecological Sensitivity and Landscape Pattern in Abandoned Mining Land

“…This leads to disorder in site functions, exacerbates habitat destruction, and gives rise to a series of ecological issues. Therefore, establishing a suitability assessment system before the development of abandoned mining land can provide developers with a theoretical and data foundation, guiding development practices [8][9][10][11].…”

“…Ecological sensitivity refers to the extent to which an ecosystem responds to external pressures, disturbances, or changes, encompassing both the sensitivity of the ecosystem to environmental changes and its capacity for recovery and adaptation [13]. It includes factors such as biodiversity, ecological balance, and ecosystem functionality to assess an ecosystem's resistance and adaptability to different pressures [9][10][11]. This concept is crucial in environmental management and conservation, aiding in the formulation of sustainable development strategies and measures.…”