Acta Geographica Sinica ›› 2019, Vol. 74 ›› Issue (6): 1079-1096.doi: 10.11821/dlxb201906002

• Man-land Relationship • Previous Articles     Next Articles

Dynamic simulation of urbanization and eco-environment coupling: A review on theory, methods and applications

CUI Xuegang1,2,FANG Chuanglin1,2(),LIU Haimeng1,LIU Xiaofei1,2,LI Yonghong3   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
    3. Institute of Water Ecology, Beijing Orient Landscape & Environment Co., Ltd., Beijing 100015, China;
  • Received:2018-04-10 Revised:2019-03-16 Online:2019-06-25 Published:2019-06-20
  • Contact: FANG Chuanglin E-mail:fangcl@igsnrr.ac.cn
  • Supported by:
    Major Program of National Natural Science Foundation of China(41590840);Major Program of National Natural Science Foundation of China(41590842);National Key Research and Development Program of China(2016YFC0503006);China Postdoctoral Science Foundation(2018M630196)

Abstract:

At present, urbanization and eco-environment coupling has become a research hotspot. Owing to the complexity of the coupling mechanism, as well as the limitation of mathematical statistics methods, the process simulation of urbanization and eco-environment coupling needs to be strengthened. Based on the systems science and cross-scale coupling theory, we can define the coupled urbanization and eco-environment system as a nonlinear open system with multiple feedbacks. Based on the above analysis, the progress of dynamic simulation for urbanization and eco-environment coupling is reviewed. (1) As dynamic simulation has become a trend, the relevant analysis of theory and mechanism is being improved. (2) Dynamic simulation technologies have shown a trend of diversified, refined, intelligent and integrated pattern. (3) The simulation application mainly focuses on three aspects, including multiple-case regions, multiple elements, local coupling and telecoupling, and regional synergy. In addition, we found some shortcomings. (1) The development and integration of basic theories are insufficient. (2) The method integration and data sharing is lagging. (3) The coupling relational chains and dynamic characteristics of the main control elements are not fully revealed. Besides, telecoupling simulation is not quantified and systematically integrated, and could not be effectively applied to spatial synergy. In future, we should promote the intersection of research networks, technology integration and data sharing, and then uncover the evolution process of coupling relational chains and the main control elements in urban agglomerations. Finally, we should build decision-making support systems for regional sustainable urbanization.

Key words: urbanization and eco-environment coupling, dynamic simulation, theory, methods, applications