东北大学学报(自然科学版) ›› 2010, Vol. 31 ›› Issue (4): 581-584.DOI: -

• 论著 • 上一篇    下一篇

基于SD-MOP对常熟市规模的优化分析

高成康;包存宽;董家华;马美玲;   

  1. 东北大学材料与冶金学院;同济大学环境科学与工程学院;华南环境科学研究所;辽宁大学轻型产业学院;
  • 收稿日期:2013-06-20 修回日期:2013-06-20 出版日期:2010-04-15 发布日期:2013-06-20
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家重点基础研究发展计划项目(2005CB724206);;

Optimization analysis of Changshu city size based on SD-MOP

Gao, Cheng-Kang (1); Bao, Cun-Kuan (2); Dong, Jia-Hua (3); Ma, Mei-Ling (4)   

  1. (1) School of Materials and Metallurgy, Northeastern University, Shenyang 110004, China; (2) College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; (3) South China Institute of Environmental Sciences, Guangzhou 510655, China; (4) College of Light Industry, Liaoning University, Shenyang 110036, China
  • Received:2013-06-20 Revised:2013-06-20 Online:2010-04-15 Published:2013-06-20
  • Contact: Gao, C.-K.
  • About author:-
  • Supported by:
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摘要: 根据系统动力学和多目标优化法各自的优缺点,建立系统动力学与多目标的耦合模型(SD-MOP),以常熟市城市规模为实例,对其进行动态及系统的优化分析.在分析中,以经济、人口、资源、生态和空间5个子系统为核心,建立了常熟市城市规模的因果反馈图;以人口数量、人均居住面积为参比对象,进行一致性和灵敏性检验,验证了模型误差较小、稳定;以科技调控系数、土地开发速率、生态环境改善速率和绿化覆盖率增加度为调控参数,实现了常熟市城市规模的优化分析.

关键词: 系统动力学, 多目标规划, 城市适度规模, 耦合分析, 优化分析

Abstract: Coupling the system dynamics with multi-objective planning (SD-MOP), a relevant model was developed taking account of their respective advantages and disadvantages. Then, the Changshu city was taken as an instance to which an optimization analysis was made systematically and dynamically. In the analysis the five sub-systems including economy, population, resource, space and ecology were taken as cores to give a cause-effect feedback graph for the city size. With the city's population and per capita living space taken as reference objects, the conformity and sensibility tests were carried out and verified that the SD-MOP model is stable with small error. Furthermore, taking the regulation coefficient of technologies, rate of land exploitation, improvement rate of ecological condition and increment of greening coverage rate as control parameters, the optimization analysis was made for the Changshu city size.

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