论文

基于元胞自动机的城市发展密度模拟

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  • 1. 中山大学地理科学与规划学院, 广东 广州 510275;
    2. 香港大学城市规划及环境管理研究中心, 香港

收稿日期: 2004-10-12

  修回日期: 2005-06-17

  网络出版日期: 2006-03-20

基金资助

国家杰出青年基金资助项目(40525002)、国家自然科学基金资助项目(40471105)、教育部博士点基金资助项目(20040558023)。

Simulating Urban Development Density Using Cellular Automata

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  • 1. School of Geography and Planning, Sun Yat-Sen University, Guangzhou, Guangdong 510275, P. R. China;
    2. Centre of Urban Planning and Environmental Management, University of Hong Kong, Hongkong

Received date: 2004-10-12

  Revised date: 2005-06-17

  Online published: 2006-03-20

摘要

元胞自动机CA越来越多地被用于模拟复杂的城市系统,但这些模拟基本不考虑城市的发展密度。不同的城市发展密度会对城市的形态有很大的影响,有必要将城市的发展密度引进CA的城市模拟中,以获得更好的模拟结果。本文将密度梯度函数引进了CA模型的转换规则中,并定义'灰度’来反映状态的转换。利用该模型对不同可能的城市发展组合进行了模拟,为城市规划提供了辅助依据。

本文引用格式

黎夏, 叶嘉安 . 基于元胞自动机的城市发展密度模拟[J]. 地理科学, 2006 , 26(2) : 165 -172 . DOI: 10.13249/j.cnki.sgs.2006.02.165

Abstract

Most CA urban models assume densities to be uniform for all cells. This is not true in real cities because densities substantially vary from cities to cities and from urban centres to periphery areas. Development density which affects urban form is an important factor in urban planning. This paper presents a CA model that incorporates density gradient for the simulation of urban development of different urban forms. Development density is obtained from density decay functions and assigned to the cells when they are converted into developed ones according to CA transition rules. The model which is based on the concept of "grey cells" can be used as a planning model to explore various combinations of urban forms and development densities. This paper also evaluates and compares the development patterns generated by different density gradients. It is found that development scenarios with high-density development can significantly reduce the encroachment on agricultural land and other important environmentally sensitive areas.

参考文献

[1] Couclelis H. From cellular automata to urban models: new principles for model development and implementation [J]. Environment and Planning B: Planning and Design, 1997, 24: 165-174.
[2] Batty M, Xie Y. From cells to cities [J]. Environment and Planning B: Planning and Design, 1994, 21: 531-548.
[3] White R, Engelen G. Cellular automata and fractal urban form: a cellular modelling approach to the evolution of urban land-use patterns [J]. Environment and Planning A, 1993, 25: 1175-1199.
[4] Batty M. Cellular automata and urban form: a primer [J]. Journal of the American Planning Association, 1997, 63(2): 266-274.
[5] White R, Engelen G, Uijee I. The use of constrained cellular automata for high-resolution modelling of urban land-use dynamics [J]. Environment and Planning B: Planning and Design, 1997, 24: 323-343.
[6] 黎 夏,叶嘉安.基于神经网络的单元自动机CA及真实和优化的城市模拟[J].地理学报,2002,57(2): 159~166.
[7] Li X, Yeh A G O. Neural-network-based cellular automata for simulating multiple land use changes using GIS [J]. International Journal of Geographical Information Science, 2002, 16(4): 323-343.
[8] Li X, Yeh A G O. Modelling sustainable urban development by the integration of constrained cellular automata and GIS [J]. International Journal of Geographical Information Science, 2000, 14(2): 131-152.
[9] Li X, Yeh A G O. Zoning for agricultural land protection by the integration of remote sensing, GIS and cellular automata [J]. Photogrammetric Engineering & Remote Sensing, 2001, 67(4): 471-477.
[10] Yeh A G O, Li X. A constrained CA model for the simulation and planning of sustainable urban forms by using GIS [J]. Environment and Planning B, 2001, 28: 733-753.
[11] Ward D P, Murray A T, Phinn S R. A stochastically constrained cellular model of urban growth [J]. Computers, Environment and Urban Systems, 2000, 24: 539-558.
[12] 刘妙龙, 黄蓓佩.上海大都市交通网络分形的时空特征演变研究[J].地理科学,2004, 24(2): 144~149.
[13] Banister D, Watson S, Wood C. Sustainable Cities: Transport, Energy, and Urban Form [J]. Environment and Planning B, 1997, 24: 125-143.
[14] Ewing R. Is Los Angeles-style sprawl desirable? [J]. Journal of the American Planning Association, 1997, 63(1): 107-126.
[15] CUPR (Center for Urban Policy Research). Impact Assessment of the New Jersey Interim State Development Plan [M]. Trenton, N J: New Jersey Office of State Planning, 1992.
[16] Clark C. Urban population densities [J]. Journal of Royal Statistical Society, Series A, 1951, 114: 490-496.
[17] Wu F, Webster C J. Simulation of land development through the integration of cellular automata and multicriteria evaluation [J]. Environment and Planning B: Planning and Design, 1998, 25: 103-126.
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