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浙江大学学报(工学版)
浙江大学学报(工学版)  2017, Vol. 51 Issue (11): 2232-2238    DOI: 10.3785/j.issn.1008-973X.2017.11.018
土木与交通工程     
基于CA非均质性邻接关系的城市扩张模拟
岳文泽, 高佳斌, 熊昌盛
浙江大学 土地管理系, 浙江 杭州 310058
Cellular automata model for urban land expansion simulation based on heterogeneity adjacency relationship
YUE Wen-ze, GAO Jia-bin, XIONG Chang-sheng
Department of Land Management, Zhejiang University, Hangzhou 310058, China
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摘要：

针对传统元胞自动机（CA）均质性邻接关系的假设条件，提出非均质性CA模型（HA-CA），通过引入基准地价等要素将邻域元胞的空间异质性融入模型.研究采用Python脚本语言分别构建了传统CA与HA-CA模拟算法，实例研究显示：基准地价的引入使得模拟精度等到提升，且HA-CA模拟的城市用地扩张更趋近于中心城区周边分布，布局更加符合城市的发展方向，而仅考虑数量而不考虑城镇建设用地质量差异的传统CA模型，在面临多等级城市扩张模拟时会面临"失效"的可能.此外，不同建设用地类型转换机制上的差异是CA模拟结果与实际情形存在出入的重要原因，基于基准地价的HA-CA更适用于模拟住宅和商业用地扩张.
Abstract:

A heterogeneous adjacency cellular automata (HA-CA) model was proposed by using datum land price as spatial heterogeneity parameter in order to improve the homogeneous adjacency assumption of traditional CA models in urban expansion simulation. Python programming language was employed to establish the simulation models. The simulation accuracy of HA-CA was improved. Heterogeneity factor obviously lead to a trend of concentrating distribution of urban land. Traditional CA model may be inefficient for simulating polycentric urban expansion because the quality of neighbor cells is ignored. The divergences between the simulated results and actual situations are mainly because of different transition rules of different construction land types, and CA model based on datum land price data is more applicable for the simulation of market-driven land expansion.
收稿日期: 2016-12-15 出版日期: 2017-11-13
CLC:  F299.21  
基金资助:

国家社会科学基金重点资助项目（14AZD124）；国家自然科学基金资助项目（41671533）；中央高校基本科研业务费资助项目.
作者简介: 岳文泽(1977-),男,教授,从事土地利用与大数据等研究.ORCID:0000-0002-7533-3294.E-mail:wzyue@zju.edu.cn
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引用本文:

岳文泽, 高佳斌, 熊昌盛. 基于CA非均质性邻接关系的城市扩张模拟[J]. 浙江大学学报(工学版), 2017, 51(11): 2232-2238.

YUE Wen-ze, GAO Jia-bin, XIONG Chang-sheng. Cellular automata model for urban land expansion simulation based on heterogeneity adjacency relationship. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2017, 51(11): 2232-2238.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2017.11.018    或    http://www.zjujournals.com/eng/CN/Y2017/V51/I11/2232

[1] VERBURG P H, SOEPBOER W, VELDKAMP A, et al. Modeling the spatial dynamics of regional land use:the CLUE-S Model[J]. Environmental Management, 2002, 30(3):391-405.
[2] CLARKE K C, HOPPEN S, GAYDOS L J. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area[J]. Environment & Planning B Planning & Design, 1997, 24(2):247-261.
[3] 龙瀛,韩昊英,毛其智. 利用约束性CA制定城市增长边界[J]. 地理学报. 2009, 64(8):999-1008. LONG Ying, HAN Hao-ying, MAO Qi-zhi. Establishing urban growth boundaries using constrained CA[J]. Acta Geographica Sinica, 2009, 64(8):999-1008.
[4] 黎夏,叶嘉安.约束性单元自动演化CA模型及可持续城市发展形态的模拟[J]. 地理学报. 1999, 54(4):289-298. LI X, YE Jia-an. Constrained Cellular Automata for modelling sustainable urban forms[J]. Acta Geographica Sinica, 1999, 54(4):289-298.
[5] MUSTAFA A, SAADI I, COOLS M, et al. Measuring the effect of stochastic perturbation component in cellular automata urban growth model[J]. Procedia Environmental Sciences, 2014, 22:156-168.
[6] ZHANG Y, LIX, LIU X, et al. The CA model based on data assimilation[J]. Journal of Remote Sensing, 2011, 15(3):475-482.
[7] FENG Y, LIU Y. A heuristic cellular automata approach for modelling urban land-use change based on simulated annealing[J]. International Journal of Geographical Information Science, 2013, 27(3):449-466.
[8] FENG Y, LIU Y, TONG X, et al. Modeling dynamic urban growth using cellular automata and particle swarm optimization rules[J]. Landscape and Urban Planning, 2011, 102(3):188-196.
[9] 郭欢欢,李波,侯鹰,等. 元胞自动机和多主体模型在土地利用变化模拟中的应用[J]. 地理科学进展. 2011, 30(11):1336-1344. GUO Huan-huan, LI Bo, HOU ying, et al. Cellular automata model and multi-agent model for the simulation of land use change:a review[J]. Progress in Geography, 2011, 30(11):1336-1344.
[10] 聂云峰,陈红顺,夏斌,等.基于多智能体与GIS城市土地利用变化仿真研究[J]. 计算机应用研究. 2009, 26(07):2613-2616. NIE Yun-feng, CHEN Hong-shun, XIA Bin, et al. Simulation of urban land use change based on multi-agent GIS[J]. Application Research of Computers, 2009, 26(07):2613-2616.
[11] 全泉,田光进,沙默泉. 基于多智能体与元胞自动机的上海城市扩展动态模拟[J]. 生态学报. 2011, 31(10):2875-2887. QUAN Quan, TIAN Guang-jin, SHA Mo-quan. Dynamic simulation of Shanghai urban expansion based on multi-agent system and Cellular Automata Models[J]. Acta Ecologica Sinica, 2011, 31(10):2875-2887.
[12] KOCABAS V, DRAGICEVIC S. Assessing cellular automata model behaviour using a sensitivity analysis approach[J]. Computers, Environment and Urban Systems, 2006, 30(6):921-953.
[13] YVZER M A. Growth estimations in settlement planning using a land use cellular automata model (LUCAM)[J]. European Planning Studies, 2004, 12(4):551-561.
[14] BATTY M. Possible urban automata[J]. Environment & Planning B:Planning & Design. 1997, 24(2):175-192.
[15] YEH A, LI X. Modelling sustainable urban forms using extended Cellular Automata and GIS in T.K. Poiker and N. Chrisman (eds.)[C]//Proceedings of 8th International Symposium on Spatial Date Handling. Vancouver, Canada:IGU, 1998, 453-464.
[16] 陈逸敏,李少英,黎夏,等.基于MCE-CA的东莞市紧凑城市形态模拟[J]. 中山大学学报:自然科学版. 2010, 49(6):110-114. CHEN Yi-min, LI Shao-ying, LI Xia, et al. Simulating compact urban form using Cellular Automata and Multi-criteria evaluation:a case study in Dongguan[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2010, 49(6):110-114.
[17] 聂婷,肖荣波,王国恩,等.基于Logistic回归的CA模型改进方法——以广州市为例[J]. 地理研究. 2010, 29(10):1909-1919. NIE Ting, XIAO Rong-bo, WANG Guo-en, et al. An improvement on CA model of logistic regression:a case study of Guangzhou[J]. Geographical Research, 2010, 29(10):1909-1919.
[18] 刘妙龙,陈鹏.基于细胞自动机与多主体系统理论的城市模拟原型模型[J].地理科学. 2006, 26(3):292-298. LIU Miao-long, CHEN Peng. A prototype of urban simulation model based on the theories and methodologies of cellular automata and multi-agent system[J]. Scientia Geographica Sinica, 2006, 26(3):292-298.
[19] ANSELIN L. Spatial econometrics:methods and models[M]. Dordrecht:Kluwer Academic Publishers, 1988:1-15.
[20] 董冠鹏,张文忠,武文杰,等.北京城市住宅土地市场空间异质性模拟与预测[J]. 地理学报. 2011, 66(6):750-760. DONG Guan-peng, ZHANG Wen-zhong, WU Wen-jie,et al. Spatial Heterogeneity in determinants of residential land price:simulation and prediction[J]. Acta Geographica Sinica, 2011, 66(6):750-760.
[21] 张俊峰,张安录.土地资源空间异质性与经济发展水平的关系研究——以武汉城市圈为例[J]. 自然资源学报. 2015, 30(5):725-735. ZHANG Jun-feng, ZHANG An-lu. Study on relationship between spatial heterogeneity of land resources and economic development:a case study of Wuhan urban agglomeration[J]. Journal of Natural Resources, 2015, 30(5):725-735.
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