Li Xiaodan, Yang Hao, Chen Zhiting, Wang Zhen, Guo Lujie, Song Yongjie, Liu Lu. Evaluation system for prioritization tool to redevelop abandoned coal mine industry square based on DSR model[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2018, 34(1): 224-231. DOI: 10.11975/j.issn.1002-6819.2018.01.031
    Citation: Li Xiaodan, Yang Hao, Chen Zhiting, Wang Zhen, Guo Lujie, Song Yongjie, Liu Lu. Evaluation system for prioritization tool to redevelop abandoned coal mine industry square based on DSR model[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2018, 34(1): 224-231. DOI: 10.11975/j.issn.1002-6819.2018.01.031

    Evaluation system for prioritization tool to redevelop abandoned coal mine industry square based on DSR model

    • Abstract: The redevelopment of abandoned coal mine industry square (ACMIS) has become an important issue, as the number of abandoned sites has been increasing. Meanwhile, redeveloping the ACMIS is the basic requirement of the Chinese urban renovation and restoration strategy. Since reusing ACMIS is time-consuming and cost-consuming, developing an assessment tool to prioritize the renewal processes is necessary. Many existing assessment tools are not appropriate because they mainly focus on ecological aspects, while neglecting urban planning issues. Thus, this paper proposes a driving force-state-response (DSR) model of ACMIS which integrates planning, land rehabilitation and ecology, and analyzes the factors influencing the DSR framework. Then, the paper creates a comprehensive assessment system for prioritizing the redevelopment of ACMIS, which includes stakeholders' requalification objectives and perspectives related to the ACMIS regeneration process. The assessment system takes into account 3 pillars, which are 6 driving force factors (agglomeration degree of ecological agriculture, agglomeration degree of culture-oriented travel, high-way status, public transportation status, distance from downtown, accessibility of public service facilities), 9 state factors (soil conditions, soil pH value, damage degree, degree of heavy metal pollution, risk degree of geologic hazard, architectural integrity, historic and cultural value of modern architectures, status of underground space, municipal infrastructure status), and response (planning and policy). The point scoring framework is used to quantify and classify indicators, while four-quadrant method is used to couple evaluation results. Based on the evaluation results, ACMIS has been divided into 4 classes, high driving force - high state (HDFHS), high driving force - low state (HDFLS), low driving force - high state (LDFHS) and low driving force - low state (LDFLS). According to the land use planning, the development sequence is divided into 3 stages: The first development sequence is composed of HDFHS, the second development sequence is composed of HDFLS and LDFHS, and the third one is composed of LDFLS. The method has been applied to the Jingxi coal mine case study (Beijing, China), and the result showed that 3 sites named Changgouyu (D=3.818, S=3.848; D is driving force and S is state), Datai (D=3.732, S=3.732) and Muchengjian (D=2.646, S=4.522) in the city inventory were included in the first redevelopment sequence, and Wangping (D=4.240, S=3.187), Qianjuntai (D=2.248, S=3.887) and Daanshan (D=1.792, S=4.39) in the second redevelopment sequence, while Anjiatan (D=2.118, S=1.464) and Huapogen (D=2.798, S=1.907) in the third redevelopment sequence. It reveals that an adapted and structured assessment approach truly contributes to integrating urban planning into ACMIS regeneration. The resulting assessment should be a valuable aid to cities and governments as they plan their ACMIS regeneration projects.
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