《Modelling and evaluating the economy-resource-ecological environment system of a third-polar city using system dynamics and ranked weights-based coupling coordination degree model》

打印
作者
Yuanhui Wang;Changqing Song;Changxiu Cheng;Haoyu Wang;Xiangyu Wang;Peichao Gao
来源
CITIES,Vol.134,Issue1,Article 104151
语言
英文
关键字
作者单位
State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China;Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;National Tibetan Plateau Data Center, Beijing 100101, China;State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China;Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;National Tibetan Plateau Data Center, Beijing 100101, China;State Key laboratory of urban and regional Ecology, Research Center for Eco-environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;University of Chinese Academy of Sciences, Beijing 100049, China;Beijing-Tianjin-Hebei Urban Megaregion National Observation and Research Station for Eco-Environmental Change, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;Xiongan Institute of Innovation, Xiongan New Area, 071000, China;College of Earth Sciences, Jilin University, Changchun 130061, China;Center for Chinese Public Administration Research, School of Government, Sun Yat-sen University, Guangzhou, Guangdong, China;Department of Management, Macquarie Business School, Macquarie University, Sydney, New South Wales, Australia;Institut d'Estudis Regionals i Metropolitans de Barcelona (IERMB), Autonomous University of Barcelona, Plaça del Coneixement, Edifici MRA, Planta 2, Campus UAB, 08193 Bellaterra, Spain;TURBA Lab, Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya, Barcelona, Spain;The Bartlett School of Planning, University College London, Central House, 14 Upper Woburn Place, London WC1H 0NN, UK;School of Urban Design, Wuhan University, No. 299 Bayi Road, Wuchang District, Wuhan 430072, China;Hubei Habitat Environment Research Centre of Engineering and Technology, Wuhan, China;College of Land Science and Technology, China Agricultural University, Beijing 100083, China;Key Laboratory of Remote Sensing for Agri-Hazards, Ministry of Agriculture and Rural Affairs, Beijing 100083, China;Department of Geology and Atmosphere Sciences, Iowa State University, IA 50014, USA;School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China;Department of Geography, The University of Hong Kong, Hong Kong, China;Beijing Municipal Institute of City Planning and Design, Beijing 100045, China;AI for Earth Lab, Cross-Strait Institute, Tsinghua University, Beijing 100084, China;School of Architecture, Tsinghua University, Beijing 100084, China
摘要
The sustainable development of the Tibetan Plateau is vital for Asia and the entire world, as this region is usually referred to as the Asia Water Tower and the Third Pole. Previous studies have focused on the ecological protection of the Tibetan Plateau, largely ignoring the sustainable development of its cities as the carrier of most people on the Tibetan Plateau. In this study, we optimized the economy-resource-ecological environment (ERE) system of the largest city on the Tibetan Plateau, namely Xining. To this end, we first established a system dynamics model of its ERE system, and highlight local policies such as the Yindajihuang Water Transfer Project. Then, we evaluated the coordination of the ERE system under multiple trade-off scenarios, by developing and applying a ranked weights-based coupling coordination degree (CCD) model. This new CCD model avoids accurate and subjective weighting of multiple criteria, thus being more widely applicable and objective. The evaluation results indicate that the resource subsystem should be more emphasized than the economy subsystem, to avoid severe deterioration of the ERE system. Also, the coordination of Xining's ERE system could be effectively improved by setting highest development priority for the ecological environment subsystem.