摘要
The rapid urbanization of China has enabled city scale optimization to become a research focus in various fields. At present, the most commonly used method in studying this topic is coefficient method, while dynamic and systemic analysis can rarely be seen. Advantages as well as disadvantages of system dynamic taken into consideration, this paper sets up a system dynamic-multi-objective programming coupling model to analyze optimum city scale. In the model, both quantification of sensitive parameters and modeling of complex systems can be realized. Coupling model is divided into four subsystems, and thus the causal feedback structure diagram of optimal city scale is built up. Furthermore, this paper makes a test on the consistency and the sensitivity of the coupling model, which is aimed to verify whether the model error is acceptable or not. Finally, the results show that the coupling model possesses high reliability and strong operability, which proves it's feasible to apply the coupling model in the study of city scale optimization.
- 出版日期2012-4
- 单位东北大学; 环境保护部华南环境科学研究所; 上海师范大学