Characteristic of urban expansion based on CA-SVM model

ZHANG Jie, CAI Yitao, YANG Qiang, HE Liheng, CAO Xinqing, HOU Lili, ZHOU Mo

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2018, Vol. 42 ›› Issue (04) : 148-152.

PDF(2322668 KB)
南京林业大学学报（自然科学版）
PDF(2322668 KB)
JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2018, Vol. 42 ›› Issue (04) : 148-152. DOI: 10.3969/j.issn.1000-2006.201706006

Characteristic of urban expansion based on CA-SVM model

  • ZHANG Jie1,2, CAI Yitao2*, YANG Qiang3, HE Liheng3, CAO Xinqing4, HOU Lili2, ZHOU Mo2
Author information +
History +

Abstract

Abstract: 【Objective】The analysis of urban expansion simulations is an effective way to reveal the characteristics, mechanisms, and evolutionary processes of urban land use systems. 【Method】Nonlinear transformation rules defined by nonlinear classification of Support Vector Machine(SVM)for the Cellular Automata(CA)are used to calculate regional-spatial variables, such as the distance between cellular and the center of Putian City, business centers, different types of roads, and geological and geomorphological control boundaries. The contribution of these variables toward the transformation of each cellular to the urban development is then calculated. A CA-SVM-based urban expansion simulation model is established to reveal the trend of urban land expansion in Putian City. 【Result】The classification hyperplane in the SVM-CA model is defined considering the minimization of structural risk and maximum distance interval. Results indicate that the accuracy of the point-by-point comparison of this model to simulate the urban expansion is up to 83%. Urban expansion is mainly concentrated in the northeast, southeast, and southern coastal regions of Putian City. The city also exhibits a pattern of axial expansion along the main roads. A spatial salutatory layout can be seen at traffic network nodes along the coastal line, harbors and wharfs, etc. 【Conclusion】CA-SVM model can reflect quantitatively the role of each spatial element in the urban pattern of the study area, and further to analyze the major rule of city.

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
ZHANG Jie, CAI Yitao, YANG Qiang, HE Liheng, CAO Xinqing, HOU Lili, ZHOU Mo. Characteristic of urban expansion based on CA-SVM model[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2018, 42(04): 148-152 https://doi.org/10.3969/j.issn.1000-2006.201706006

References

[1] 王璟睿,张玲玲,李明诗,等. 基于遥感的城市化进程监测方法及其应用[J]. 南京林业大学学报(自然科学版),2017,41(5):57-64. DOI:10.3969/j.issn.1000-2006.201608018. WANG J R, ZHANG L L, LI M S, et al. Research on monitoring method and application of urbanization process based on remote sensing[J]. Journal of Nanjing Forestry University(Natural Sciences Edition),2017,41(5):57-64.
[2] TOBLER W R. A Computer movie simulating urban growth in the detroit region[J]. Economic Geography,1970,46:234. DOI:10.2307/143141.
[3] BATTY M. New ways of looking at cities[J]. Nature, 1995, 377(6550): 574-574. DOI:10.1038/377574a0.
[4] VANCHERI A, GIORDANO P, ANDREY D, et al. Urban growth processes joining cellular automata and multiagent systems. Part 1: theory and models[J]. Environment and Planning B: Planning and Design, 2008, 35(4): 723-739. DOI:10.1068/b31080a.
[5] ARSANJANI J, HELBICH M, KAINZ W, et al. Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion[J]. International Journal of Applied Earth Observation and Geoinformation, 2013, 21: 265-275. DOI:10.1016/j.jag.2011.12.014.
[6] 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. DOI:10.3321/j.issn:0375-5444.1999.04.001. LI X,YE J A. Constrained cellular automata for modelling sustainable urban forms[J]. Acta Geographica Sinica, 1999, 54(4): 289-298.
[7] 崔利,王渝, 马晶. 基于元胞自动机的城市扩展研究[J]. 长春工程学院学报(自然科学版),2014,15(2): 86-90. DOI:10.3969/j.issn.1009-8984.2014.02.023. CUI L,WANG Y,MA J. Research on city extension based on cellular automata[J]. Journal of Changchun Institute of Technology(Natural Science Edition),2014,15(2): 86-90.
[8] 桂预风, 杨慧, 张永红. 扩展邻域元胞自动机模型城市扩张研究[J]. 测绘科学, 2014, 39(12): 61-64. GUI Y F, YANG H, ZHANG Y H. Research of urban expansion based on ca model of extended neighborhood[J]. Science of Surveying and Mapping, 2014, 39(12): 61-64.
[9] 裴凤松,黎夏,刘小平,等. 城市扩张驱动下植被净第一性生产力动态模拟研究——以广东省为例[J]. 地球信息科学学报, 2015,7(4):469-477. PEI F S,LI X,LIU X P,et al. Dynamic simulation of urban expansion and their effects on net primary productivity: a scenario analysis of Guangdong Province in China[J]. Journal of Geo-information Science,2015,7(4):469-477.
[10] 王志杰. 基于遥感影像分割单元的土地利用变化快速检测方法[J]. 南京林业大学学报(自然科学版),2015,39(3): 1-5. DOI:10.3969/j.issn.1000-2006.2015.03.001. WANG Z J. Rapid detection method for land use change based on remote sensing images segmentation units[J]. Journal of Nanjing Forestry University(Natural Science Edition),2015,39(3): 1-5.
[11] 武晓波,赵健,魏成阶,等. 细胞自动机模型用于城市发展模拟的方法初探——以海口市为例[J]. 城市规划,2002,26(8): 69-73. DOI:10.3321/j.issn:1002-1329.2002.08.014. WU X B,ZHAO J,WEI C J,et al. The urban expanding simulation with the cellular automata model in Haikou[J]. City Planning Review, 2002, 26(8): 69-73.
[12] 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. DOI:10.1068/b250103.
[13] BATTY M, XIE Y. Possible urban automata[J]. Environment and Planning B: Planning and Design, 1997, 24(2): 175-192. DOI:10.1068/b240175.
[14] MADEVSKA-BOGDANOVA A, NIKOLIK D, CURFS L. Probabilistic SVM outputs for pattern recognition using analytical geometry[J]. Neuro Computing, 2004, 62: 293-303. DOI:10.1016/j.neucom.2003.03.002.
[15] 张洁. 基于CA-SVM模型的福建省莆田市城市空间动态扩张研究[D]. 武汉:中国地质大学,2017.
PDF(2322668 KB)

Accesses

Citation

Detail
Sections
Recommended
The full text is translated into English by AI, aiming to facilitate reading and comprehension. The core content is subject to the explanation in Chinese.

Author

Reader

Reviewer

www.nldxb.njfu.edu.cn

Edited ＆ Published by Editorial Department of Nanjing Forestry University(Natural Sciences Edition)
Address： No.159 Longpan Road,Nanjing 210037 Jiangsu,P.R.China
E-mail ：xuebao@njfu.edu.cn , xuebao@njfu.com.cn
Telephone +86-25-85428247,85427076
Distributed by China International Book Trading Corporation P.O. Box 399, Beijing ,P.R. China

/

〈 〉