Please wait a minute...
img

官方微信

遥感技术与应用  2008, Vol. 23 Issue (6): 618-623    DOI: 10.11873/j.issn.1004-0323.2008.6.618
研究与应用     
基于SLEUTH模型的城市增长模拟研究——以长沙市为例
张鸿辉1,2 尹长林2 曾永年1 游胜景2 陈光辉1,2
(1.中南大学信息物理工程学院|湖南 长沙 410083;
2.长沙市规划信息服务中心|湖南 长沙 410013)
Study on Urban Growth Simulation Based on SLEUTH Model——Changsha City as an Example
ZHANG Hong-hui1,2 YIN Chang-lin1,2 ZENG Yong-nian1 YOU Sheng-jing2 CHEN Guang-hui1,2
(1.College of Information and Physics Engineering,Center\|South University,Changsha 410083,China;2.Changsha Urban Planning Information Service Center,Changsha 41003,China)
 全文: PDF(1193 KB)  
摘要:

元胞自动机具有模拟二维空间演化过程的能力,并且在时间上也是离散的,因此具有很强的时空动态性,它的这种特性使其模拟城市增长具有明显的优势。SLEUTH模型是元胞自动机模型的一种具体实现形式,通过介绍该模型的增长参数、增长规则以及校正过程,提出了可提高模拟精度的增长参数与增长规则改进方法。最后基于GIS方法和遥感数据源,将该模型应用于长沙市,重建了1996~2005年长沙市历史城市增长过程,预测了2010年长沙市城市增长情景,证明了SLEUTH模型模拟城市增长的可行性。

关键词: 元胞自动机城市增长模拟SLEUTH模型长沙市    
Abstract:

The cellular automaton model has the ability to simulate the process of two-dimensional space evolution in discrete time.Therefore it is dynamic in time and space.The characteristic makes it greatly superior in simulating urban growth.The paper explained the parameters,transformation and rectification of the SLEUTH model-one specific realizid format of the cellular automation model,what'more,the author modified urban growth rule and parameter setting of this model in order to improve simulation accuracy.On the base of which,the process of urban growth of Changsha city between the year 1996 and 2005 is rebuilt.Moreover the spatial morphology of Changsha city in 2010 is separately predicted with the method of scenario simulation.The results showed that application of the SLEUTH model to simulation of urban growth is advisable.

Key words: Cellular automata    Urban growth simulation    SLEUTH model    Changsha city
收稿日期: 2008-06-24 出版日期: 2011-11-07
:  TP 79  
基金资助:

国家自然科学基金项目(40071198);湖南省自然科学基金项目(08JJ6023)。

通讯作者: 曾永年(1959-),男,博士,教授,主要从事遥感与地理信息系统的应用研究。E-mail:ynzeng@mail.csu.edu.cn。     E-mail: zhhgis@163.com。
作者简介: 张鸿辉(1980-),男,博士研究生,主要从事遥感与地理信息系统应用研究。E-mail:zhhgis@163.com。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  

引用本文:

张鸿辉,尹长林,曾永年,游胜景,陈光辉. 基于SLEUTH模型的城市增长模拟研究——以长沙市为例[J]. 遥感技术与应用, 2008, 23(6): 618-623.

ZHANG Hong-hui,YIN Chang-lin,ZENG Yong-nian,YOU Sheng-jing,CHEN Guang-hui. Study on Urban Growth Simulation Based on SLEUTH Model——Changsha City as an Example. Remote Sensing Technology and Application, 2008, 23(6): 618-623.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2008.6.618        http://www.rsta.ac.cn/CN/Y2008/V23/I6/618

[1] Liu X P,Li X,Peng X J.Niche-based Cellular Automata for Sustainable Land Use Planning[J]. Acta Ecologica Sinica,2007,27(6):2391-2402.[刘小平,黎夏,彭晓娟.“生态位”元胞自动机在土地可持续规划模型中的应用[J].生态学报,2007,27(6):2391-2402.]
[2] Batty M.Urban Evolution on the Desktop:Simulation with the Use of Extended Cellular Automata[J].Environment and Planning A,1998,30:1943-1967.
[3] Batty M,Couclelis H,Eichen M.Urban Systems as Cellular Automata[J].Environment and Planning B:Planning and Design,1997,24:159-164.
[4] Batty M,Xie Y,Sun Z.Modeling Urban Dynamics through GIS-based Cellular Atomata[J].Computers,Environment and Urban Systems,1999,23:205-233.
[5] 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].International Journal of Geographical Information Science,1998,12:699-714.
[6] Clarke K C,Hoppen S,Gaydos L.A Self-modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area[J].Environment and Planning B:Planning and Design,1997,24:247-261.
[7]    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(1):103-126.
[8] 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.
[9] Li X,Yeh A G O.Data Mining of Cellular Automata's Transition Rules[J].International Journal of Geographical Information Science,2004,18(8):723-744.
[10] Liu X P,Li X.Retrieving CA Nonlinear Transition Rule from High-dimensional Feature Sapce[J].Acta Geographica Sinica,2006,61(6):663-672.[刘小平,黎夏.从高维特征空间中获取元胞自动机的非线性转换规则[J].地理学报,2006,61(6):663-672.]
[11] Liu X P,Li X.Fisher Discriminant and Automatically Getting Transition Rule of CA[J].Acta Geodaetica et Cartographica Sinica,2007,36(1):112-119.[刘小平,黎夏.Fisher判别及自动获取元胞自动机的转换规则[J].测绘学报,2007,36(1):112-119.]
[12] Clarke K C,Hoppen S,Gaydos L.A Self-modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area[J].Environment and Planning B:Planning and Design,1997,24:247-261.
[13] 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].International Journal of Geographical Information Science,1998,12(7): 699-714.

[1] 王帅,徐涵秋,唐菲. 基于IBI和CA模型的城市建成区提取及其应用——以上海市为例[J]. 遥感技术与应用, 2017, 32(6): 1161-1170.
[2] 李晓俊,吕恒,李云梅,王瑜,张杰,潘洪洲. 遥感图像亚像元定位元胞自动机算法改进研究[J]. 遥感技术与应用, 2015, 30(6): 1206-1214.