PROGRESS IN GEOGRAPHY ›› 2019, Vol. 38 ›› Issue (1): 111-125.doi: 10.18306/dlkxjz.2019.01.010

• Reviews • Previous Articles     Next Articles

Progress in dynamic simulation modeling of urbanization and ecological environment coupling

Xuegang CUI1,2(), Chuanglin FANG1,*(), Jun LI3, Haimeng LIU1,2, Qiang ZHANG1   

  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. School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2018-04-03 Revised:2018-09-10 Online:2019-01-28 Published:2019-01-22
  • Contact: Chuanglin FANG;
  • Supported by:
    Major Program of National Natural Science Foundation of China, No. 41590840 and 41590842.


The development trend of geographical science indicates that the research on urbanization and ecological environment coupling will move from quantitative description to dynamic simulation. At present, the dynamic simulation models of urbanization and ecological environment coupling are diverse. This article reviewed and summarized four common types of models, including system dynamics model, artificial intelligence algorithm, land use change model, and composite model. The main conclusions are as follows: 1) System dynamics models are widely used in the dynamic simulation of urban complex nonlinear systems, urban transition and sustainable development, and urbanization and ecological environment elements coupling. However, spatial interpretation is insufficient and system adaptability is ignored. 2) Artificial intelligence algorithm has significant advantages in simulating self-learning, self-organizing, and adaptive systems, as well as uncertain systems. It is applied to identify urban expansion, environmental change, resource demand, and ecological vulnerability, but the application range is narrow. 3) Land use change models are limited to the simulation of urbanization and ecological environment coupling under the condition of land transfer to urban use. 4) To achieve complementarities between the various models, it has become a trend to develop composite models based on multi-model integration. In the future, we should develop dynamic simulation models from both the technical and theoretical aspects, and strengthen the simulation of microscopic processes.

Key words: urbanization and ecological environment coupling, dynamic simulation, system dynamics model, artificial intelligence algorithm, land use change model, composite model