| 复杂区域科学：21世纪的区域科学 |
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| 引用本文： | 杨开忠,薛领.复杂区域科学：21世纪的区域科学[J].地球科学进展,2002,17(1):5-11. |
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| 作者姓名： | 杨开忠 薛领 |
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| 作者单位： | 北京大学城市与环境学系,北京,100871 |
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| 基金项目： | 国家自然科学基金项目“区域复杂空间格局演化规律的研究”(编号 :499710 2 7)资助 |
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| 摘 要： | 简要回顾了区域科学的发展里程并着重指出，今天越来越多的学者逐渐放弃传统的理念，将区域作为一个开放、复杂的非线性系统对待。区域科学的研究趋势逐渐由静态的、均衡的范式向动态演化的范式转变，开始应用复杂科学（scienc esofcomplexity）的理论和方法来研究和分析区域问题及其时空演化的内在规律，从而形成复杂区域科学研究阶段。介绍了有关复杂性及复杂科学的一些内容，并在此基础上进一步探讨了复杂区域科学研究的主要问题和可能的研究方法。
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| 关 键 词： | 区域科学 复杂科学 空间复杂性 模拟模型 |
| 文章编号： | 1001-8166(2002)01-0005-07 |
| 收稿时间： | 2001-04-29 |
| 修稿时间： | 2001-07-05 |
SPATIAL COMPLEXITY: REGIONAL SCIENCE IN 21th CENTURY |
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| YANG kai-zhong,XUE Ling.SPATIAL COMPLEXITY: REGIONAL SCIENCE IN 21th CENTURY[J].Advance in Earth Sciences,2002,17(1):5-11. |
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| Authors: | YANG kai-zhong XUE Ling |
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| Institution: | Department of Urban and Environment Sciences，Peking University，Beijing 100871，China |
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| Abstract: | This paper basically reviews the development of regional science and emphasizes the fact that today more and more researchers gradually give up the traditional ideas, begin to treat region as an open, evolutionary, non-linear complex system. The research tendency of regional science has changed from static, equilibrium paradigm to dynamic, evolutionary paradigm, which makes use of sciences of complexity to study and analyze the regional problems and its rules of spatial-temporal evolution. The existence of a vast literature to a certain extent suggests that regional growth as well as its spatial evolution is more complicated than what we had thought. It is indeed the complexity inherent in the regional process that deserves further study. Urban and regional spatial structure can be seen as a cumulative on temporal dimension and agglomeration on spatial dimension which results from numerous interaction and locally decision of adaptive agents (households, enterprises, government and other organizations). Therefore the basic force driving the evolution of spatial structure is inherently microscopic. Our research on spatial complexity should focus on the microscopic mechanism of macroscopic emergence and its simulation. Moreover, this paper also discusses the other primary issues of spatial complexity and potential ways of approaching these problems such as multi-agent model based on the theory of complex adaptive systems. |
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| Keywords: | Regional science Sciences of complexity Spatial complex Simulation and model |
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