基于CA的城市空间动态模型研究

doi:10.11867/j.issn.1001-8166.2002.02.0188

地球科学进展 ›› 2002, Vol. 17 ›› Issue (2): 188 -194. doi: 10.11867/j.issn.1001-8166.2002.02.0188

土地利用/覆盖变化动力学研究进展与展望上一篇下一篇

基于CA的城市空间动态模型研究

何春阳,陈晋,史培军,于章涛

北京师范大学环境演变与自然灾害教育部重点实验室，北京师范大学资源科学研究所，北京 100875

收稿日期:2001-12-07 修回日期:2002-03-19 出版日期:2002-12-20
通讯作者: 何春阳（1975-），男，四川射洪人，博士生，主要从事遥感应用与土地利用/覆盖变化研究.E-mail: hcy@bnu.edu.cn E-mail:hcy@bnu.edu.cn
基金资助:
国家自然科学基金重大项目“中国东部陆地农业生态系统与全球变化相互作用机理研究”（编号：39899374）；教育部高等学校重点实验室访问学者基金资助.

STUDY ON THE SPATIAL DYNAMIC CITY MODEL BASED ON CA(CELLULAR AUTOMATA)MODEL

HE Chun-yang, CHEN Jin, SHI Pei-jun, YU Zhang-tao

Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University; Institute of Resources Science, Beijing Normal University, Beijing 100875,China

Received:2001-12-07 Revised:2002-03-19 Online:2002-12-20 Published:2002-04-01

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综述了当前基于CA（Cellular Automata）的城市空间动态模型研究的基本进展，介绍了我国发展的基于CA 的大都市区城市扩展模型（City Expanding Modelin Metropolianarea，CEM）以及利用该模型对北京地区城市发展过程的初步模拟结果。认为离散化的"自下而上"的微观个体模型代表了当前城市空间动态模型的最新发展方向，建立基于CA的城市动态模型，开展中国大都市区城市发展演变过程的模拟研究在当前具有重要的理论和实践意义。

关键词: 城市发展, CA, 动态模型

In the paper, the Progress in the spatial dynamic city model based on CA (cellular automata) model is reviewed and the new developed CEM model (City Expanding Model in Metropolitan area) with its primary simulation and prediction result in Beijing is introduced. It can be seen that the “bottom-up” dynamic city model based on the individual unit interaction show the last direct of the current spatial city model. At present, it is significant to develop the spatial dynamic city model based on CA and study on the city expanding in metropolitan area in China both in theory and practice.

Key words: CA, Spatial dynamic city model, City expanding model(CEM).

中图分类号:

［1］Zhou Chenghu, Sun Zhanli, Xie Yichun. Geographic Cellular Automata Study［M］.Beijing: Science Press,1999. ［周成虎，孙战利，谢一春.地理元胞自动机研究［M］.北京：科学出版社，1999.］
［2］Chen Shupeng. Urbanization and Urban Geographic Information System［M］. Beijing: Science Press,1999. ［陈述彭主编.城市化与城市地理系统［M］.北京：科学出版社，1999］
［3］Chen Shupeng, Xie Chuanjie. Urban remote sensing and urban geo-information system［J］. Science of Surveying and Mapping, 2000, 25(1): 35-45.［陈述彭，谢传节. 城市遥感与城市信息系统［J］.测绘科学，2000，25（1）：35-45.］
［4］Gu Chaolin, Xu Haixian. Development of urban geography in China since 1978［J］. Scientia Geographica Sinica, 1999, 19(4): 320-331.［顾朝林，徐海贤. 改革开放二十年来中国城市地理学研究进展［J］.地理科学，1999，19（4）：320-331.］
［5］Turner II B L, Skole D, Sanderson S. Land Use and Land Cover Change: Science/Research Plan［R］.IGBP Report, No. 35, HDP Report No. 7, Stockholm, Geneva,1995.
［6］Batty M, Langler P A. The morphology of urban land use［J］. Environment and Planning B, 1986,15:461-488.
［7］Batty M. Urban modeling in computer-graphic and geographic information system environment［J］. Environment and Planning B, 1992,19:663-688.
［8］Batty M, Longley P A. Fractal Cities［M］. London: Academic Press,1994.
［9］Batty M, Xie Y. From cells to cities［J］. Environment and Planning B, 1994,21: 31-48.
［10］Batty M.New ways of looking at cities［J］. Nature,1995,377:574.
［11］Markes H A,Halvin S, Stanley H E. Modeling urban growth patterns［J］. Nature,1995,377:608-612.
［12］Couclelis H. Cellular worlds: a framework for modeling micro-macro dynamics［J］. Environment and Planning A, 1985,17: 585-596.
［13］Couclelis H. Of mice and men: what rodent population can teach us about complex spatial dynamics［J］. Environment and Planning A, 1988,20: 99-109.
［14］Couclelis H. Macrostructure and microbehaviour in a metropoltan area［J］. Environment and Planning B, 1989,16: 141-154.
［15］Couclelis H. From cellular automaton to urban models: new principles for model development and implementation［J］. Environment and Planning B, 1997,24: 165-174.
［16］Batty M, Couclelis H, Eichen M. Urban system as a cellular automata［J］. Environment and Planning B, 1997,24: 159-164.
［17］Batty M, Xie Y. Possible urban automata［J］. Environment and Planning B, 1997,24: 175-192.
［18］Batty M, Xie Y, Sun Z. Modeling urban dynamics through GIS-based cellular automata, Computer［J］. Environmental and Urban Systems, 1999,23: 1-29.
［19］Xie Y. Analytical Models and Algorithms for Cellular Urban Dynamics［D］. Ph D Thesis, University of New York at Buffalo, 1994.
［20］Clarke K C, Riggan P, Brass J A. A cellular automaton model of wildfire propagation and extinction［J］. Photogrammetric Engineering and Remote Sensing, 1995,60:1 355-1 367.
［21］Clarke K C, Gaydos L J, Hoppen S. A self-modified cellular automaton model of historical urbanization in the San Francisco Bay area［J］. Environment and Planning B, 1997,24: 247-261.
［22］Clarke K C, Gaydos L J. Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore［J］. Int J Geographic Information Science, 1988,12(7): 699-714.
［23］White R, Engelen G. Cellular automata and fractal urban form: a cellular modeling approach to the evolution of urban land use patterns［J］. Environment and Planning A, 1993,25:1 175-1 199.
［24］White R, Engelen G. Cellular dynamics and GIS: modeling spatial complexity［J］. Geographical Systems, 1994,1: 237-253.
［25］White R, Engelen G. Cellular automata as the basis of integrated dynamic regional modeling［J］. Environment and Planning B, 1997,24: 235-246.
［26］White R, Engelen G, Uljee I. The use of constrained cellular automata for high-resolution modeling of urban land use dynamics［J］. Environment and Planning B, 1997,24: 323-343.
［27］White R, Engelen G. High-resolution integrated modeling of the spatial dynamics of urban and regional system［J］. Computer, Environment and Urban System, 2000,24:383-400.
［28］Wu F. A linguistic cellular automata simulation approach for sustainable land development in a fast growing region［J］. Computers, Environment and Urban Systems, 1996,20: 367-387.
［29］Wu F. An empirical model of intrametropolitan land use change in a Chinese city［J］. Environment and Planning B, 1998,25: 245-263.
［30］Wu F. An experiment on the generic polycentricity of urban growth in a cellular automatic city［J］. Environment and Planning B, 1998,25: 731-752.
［31］Wu F,Webster C J. Simulation of land development through the integration of cellular automata and multicriteria evaluation［J］. Environment and Planning B,1998, 25: 103-126.
［32］Wu F. SimLand: a prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rule［J］. International Journal of Geographical Information Science, 1998,12:63-82.
［33］Wu F, Webster C J. Simulating artificial cities in a GIS environment: urban growth under alternative regulation regimes［J］. International Journal of Geographical Information Science, 1998,14: 625-648.
［34］Yeh A G O, Li X. Sustainable land development model for rapid growth areas using GIS［J］. Int J Geographical Information Science, 1998,12(2):169-189.
［35］Li X, Yeh A G O. Modeling sustainable urban development by the integration of constrained cellular automata and GIS［J］. Int J Geographical Information Science, 2000,14(2):131-152.
［36］Ward D P, Murray A T, Phinn S R. A stochastically constrained cellular model of urban growth［J］. Computer, Environment and Urban System, 2000,24:539-558.
［37］Shi Peijun, Gong Peng, Li Xiaobing, et al. Methods and practice of Land Use/Cover Change［M］. Beijing: Science Press,2000. ［史培军，宫鹏，李晓兵,等.土地利用/覆盖变化研究的方法与实践［M］.北京：科学出版社,2000.］
［38］Wu F, Webster C J. Simulating artificial cities in a GIS environment: urban growth under alternative regulation regimes［J］. Int J Geographical Information Science, 2000,14(7): 625-648.
［39］Sun Yinshe. Forming mechanism and delimitation of metropolitan area in China—A case study of Beijing［J］. Acta Geographic Sinica, 1992, 47(6): 552-560. ［孙胤社. 大都市的形成机制及其定界——以北京为例［J］.地理学报，1992，47(6):552-560.］
［40］He Chunyang, Shi Peijun, Chen Jin. Simulation and Prediction of Land use/cover change in metropolitan area, China—As a case study in Beijing［A］.In : Proceedings of International Conference on Land Use/Cover Change Dynamics［C］. 2001. 239-256.
［41］Shi Peijun, He Chunyang, Chen Jin. Study on the land use/cover change in Beijing area, China-analysis of pattern characteristic and change mechanism［A］.In : Proceedings of International Conference on Land Use/Cover Change Dynamics［C］. 2001.67-86.

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