Form Scenario Analysis Using Constrained Cellular Automata

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  • 1. School of Architecture, Tsinghua University, Beijing 100084, China;
    2. Beijing Institute of City Planning, Beijing 100045, China;
    3. School of Environment Design, Kanazawa University, Kanazawa 920-1192, Japan

Received date: 2009-07-01

  Revised date: 2010-03-11

  Online published: 2010-06-25

Supported by

National Natural Science Foundation of China, No.50678088; Technical Supporting Programs Funded by Ministry of Science & Technology of China, No.2006BAJ14B08

Abstract

Scenario analysis has been widely applied in the realm of urban and regionalplanning. In most of current scenario analysis researches of urban growth, developing policiesare set as the input scenario conditions to generate various urban forms, which can bereferenced by policy makers and urban planners. This paper reverses the line of currentscenario analysis for urban growth, in which the term of form scenario analysis (FSA), aspatial explicit approach, is novelly defined, employing the urban form as the scenariocondition and aiming at identifying whether any policies set can be implemented to realizethe predefined form. If yes, what the detailed policy implications are for the scenario formshould be answered. A constrained cellular automata model (CA) is developed for FSA,which borrows the routine model calibration method of constrained CA using historicalobserved forms from existing literatures. Four planned schemes of Beijing Master Plan 2020for the Beijing Metropolitan Area are analyzed using constrained CA to test FSA approach,and the corresponding required policy parameters are generated, together with policyimplications for the study area. FSA is proved to be suitable for urban planning practice.

Cite this article

LONG Ying, SHEN Zhen-jiang, MAO Qi-zhi, DANG An-rong . Form Scenario Analysis Using Constrained Cellular Automata[J]. Acta Geographica Sinica, 2010 , 65(6) : 643 -655 . DOI: 10.11821/xb201006002

References


[1] Klosterman R E. The what if? Collaborative planning support system. Environment and Planning B: Planning and Design, 1999, 26(3): 393-408.

[2] Landis L D. The California urban future model: A new generation of metropolitan simulation models. Environment and Planning B: Planning and Design, 1994, 21(4): 399-420.

[3] Landis L D. Imaging land use futures: Applying the California urban future model. Journal of American Planning Association, 1995, 61(4): 438-457.

[4] Landis L D, Zhang M. The second generation of the California urban future model (Part 1): Model logic and theory. Environment and Planning B: Planning and Design, 1998, 25(5): 657-666.

[5] Landis L D, Zhang M. The second generation of the California urban future model (Part 2): Specification and calibration results of the land-use change submodel. Environment and Planning B: Planning and Design, 1998, 25(6): 795-824.

[6] Han H, Dang A R. Assessment of the implementation of urban construction boundaries in Beijing City by using remote sensing data//The 16th International Conference on Geoinformatics & Joint Conference on GIS and Built Environment. Guangzhou, China, 2008.

[7] Han H, Lai S, Dang A et al. Effectiveness of Urban Construction Boundaries in Beijing: An Assessment. Journal of Zhejiang University SCIENCE A, 2009, 10(9) 1285-1295.

[8] Kahn J, Wiener A J. The Year 2000: A Framework for Speculation on the Next 33 Years. New York: MacMillan Press, 1967.

[9] Pearman A D. Scenario construction for transportation planning. Transportation Planning and Technology, 1988, 7: 73-85.

[10] Ratcliffe J S. Scenario building: A suitable method for strategic property planning? Cambridge: RICS Cutting Edge Conference, 1999.

[11] Schoemaker P J H. Scenario planning: A tool for strategic thinking. Sloan Manage. Rev., 1995: 25-40.

[12] Ringland G. Scenario planning: Managing for the Future. New York: John Wiley, 1998: 3-15.

[13] Janssen R, Herwijnen M V, Stewart T J et al. Multiobjective decision support for land-use planning. Environment and Planning B: Planning and Design, 2008, 35: 740-756.

[14] Li X, Yeh A G O. Principal component analysis of stacked multi-temporal images for monitoring of rapid urban expansion in the Pearl River delta. International journal of Remote Sensing, 1998, 19(8): 1501-1518.

[15] Li X, Yeh A G O. Neural-network-based cellular automata for simulating multiple land use changes using GIS. International Journal of Geographical Information Science, 2002, 16(4): 323-343.

[16] Li X, Yeh A G O. Data mining of cellular automata's transition rules. International Journal of Geographical Information Science, 2004, 18(8): 723-744.

[17] Liu X, Li X. Simulating complex urban development using kernel-based non-linear cellular automata. Ecological Modelling, 2008, 211(1/2): 169-181.

[18] Liu X, Li X, Liu L et al. A bottom-up approach to discover transition rules of cellular automata using ant intelligence. International Journal of Geographical Information Science, 2008, 22(11/12): 1247-1269.

[19] Wu F. Simland: A prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rules. International Journal of Geographical Information Science, 1998, 12(1): 63-82.

[20] Li X, Yeh A G O. Modeling sustainable urban development by the integration of constrained cellular automata and GIS. International Journal of Geographical Information Science, 2000, 14(2): 131-152.

[21] Wu F. Calibration of stochastic cellular automata: the application to rural-urban land conversions. International journal of Geographical Information Science, 2002, 16(8): 795-818.

[22] Clark K C, Gaydos L J. Loose-coupling a cellular automation model and GIS: Long-term urban growth prediction for San Francisco and Washington/Baltimore. Geographical Information Sciences, 1998, 12(7): 699-714.

[23] Long Y, Shen Z, Du L et al. BUDEM: An urban growth simulation model using CA for Beijing metropolitan area. Proceedings of the SPIE - Geoinformatics, 2008, 71431D-1-15.

[24] Long Ying, Han Haoying, Mao Qizhi. Establishing urban growth boundaries using constrained CA. Acta Geographica Sinica, 2009, 64(8): 999-1008.
[龙瀛, 韩昊英, 毛其智. 利用约束性CA 制定城市增长边界. 地理学报, 2009, 64(8): 999-1008..

[25] Long Ying, He Yong, Liu Xin et al. Planning of the controlled-construction area in Beijing: Establishing urban expansion boundary. City Planning Review, 2006, 30(12): 20-26.
[龙瀛, 何永, 刘欣等. 北京市限建区规划: 制订城市扩展的边界. 城市规划, 2006, 30(12): 20-26..

[26] Beijing Planning Commission. Land Resources in Beijing. Beijing: Beijing SciTech Press, 1988.
[北京市计划委员会国 土环保处. 北京国土资源. 北京: 北京科学技术出版社, 1988..

[27] Beijing Municipal Planning Committee, Beijing Institute of City Planning, Beijing Academy of Urban Planning. Beijing Urban Planning Atlas (1949-2005), 2006.
[北京市规划委员会, 北京市城市规划设计研究院, 北京城市规划学 会. 北京城市规划图志(1949-2005), 2006..

[28] Beijing Municipal Planning Committee. Ecologically Limited Land-use Planning in Beijing (2006-2020), 2007.
[北京 市规划委员会. 北京市限建区规划(2006-2020), 2007..

[29] Liu X H, Wang J F, Liu M L et al. Spatial heterogeneity of the driving forces of cropland change in China. Science in China: Series D, 2005, 48: 2231-2240.

[30] Li X, Yang Q S, Liu X P. Discovering and evaluating urban signatures for simulating compact development using cellular automata. Landscape and Urban Planning, 2008, 86: 177-186.

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