区域尺度城市增长时空动态模型及其应用

doi:10.11821/xb201102004

地理学报 ›› 2011, Vol. 66 ›› Issue (2): 178-188.doi: 10.11821/xb201102004

区域尺度城市增长时空动态模型及其应用

匡文慧¹, 刘纪远¹, 邵全琴¹, 何剑锋¹, 孙朝阳¹, 田汉勤², 班艺舫³

1. 中国科学院地理科学与资源研究所，北京100101;
2. 美国奥本大学，奥本36849;

3. 瑞典皇家理工学院，斯德哥尔摩S-10044

收稿日期:2010-01-07 修回日期:2010-07-18 出版日期:2011-02-20 发布日期:2011-02-20
通讯作者: 刘纪远(1947-), 男, 研究员, 博士生导师。中国自然资源学会理事长, 主要从事资源环境遥感与土地利用/覆盖变化及其宏观生态效应研究。E-mail: liujy@igsnrr.ac.cn
作者简介:匡文慧(1978-), 男, 助研, 博士后。主要从事土地利用/覆盖变化和城市遥感应用研究。 E-mail: kuangwh1978@sina.com
基金资助:
国家自然科学青年基金项目(40901224); 国家“973”计划项目(2010CB950900); 国家“863”计划项目 (2009AA122002-3); 遥感科学国家重点实验室开放基金项目(2009KFJJ005); 国家资源与环境信息系统重点实验室开放基金项目(A0725); 瑞典国际合作项目(2006-24724-44416-13)

Dynamic Urban Growth Model at Regional Scale and Its Application

KUANG Wenhui¹, LIU Jiyuan¹, SHAO Quanqin¹, HE Jianfeng¹, SUN Chaoyang¹, TIAN Hanqin², BAN Yifang³

1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;

2. Aurban University, Aurban 36849, USA;

3. Swedish Royal Institute of Technology, Stockholm S-10044, Sweden

Received:2010-01-07 Revised:2010-07-18 Online:2011-02-20 Published:2011-02-20
Supported by:
The Young Scientist Fund of Nataional Natural Science Fundation of China, No.40901224; National High Technology Research and Development Program, No.2009AA122002-3; National Key Technology R&D Program, No.2006BAC08B00; Opening Foundation of State Key Laboratory of Remote Sensing Science, No.2009KFJJ005; Opening Foundation of State Key Lab of Resources and Environmental Information System, No.A0725; Swedish Research Links, No.2006-24724-44416-13

摘要/Abstract

摘要： 区域尺度城市增长动态模拟(Reg-UGM) 是城市化影响下的土地利用/覆盖变化以及全球环境变化研究的重要手段之一。针对单个城市增长未来情景模拟难以在区域尺度刻画与解释城市化影响下的土地利用/覆盖变化以及与全球环境变化交互过程与作用机理主要问题，本研究集成人工神经网络模型(ANN) 与元胞自动机模型(CA) 构建适合不同情景的区域尺度城市增长动态模型，通过1979 年以来高分辨率遥感信息探测获取的4 个时段京津唐都市圈城市增长时空特征分析提取先验知识规则，模拟京津唐都市圈在基准模式、经济模式、政策模式与结构调整模式未来不同情景模式下城市增长过程。研究表明，Reg-UGM在模拟区域尺度受国家宏观政策等影响城市非线性增长过程具有较好的可靠性，为进一步研究城市化影响下的宏观生态效应提供前提保障。模拟结果显示京津唐都市圈在不同情景模式下城市增长呈现较大的时空格局差异，未来城市增长结构调整模式更符合区域城市化的实际情况，未来区域城市增长将由特大城市向中小城市转移，滨海沿线城镇发展带将经历更快的城市增长过程。

关键词: 城市增长, 情景模拟, 京津唐都市圈, GIS

Abstract: Dynamic urban expansion simulation at regional scale is one of the important research methodologies in Land Use/Cover Change (LUCC) and global environmental change influenced by urbanization. However, previous studies indicate that the single urban expansion simulation for future scenarios at local scale cannot meet the requirements for characterizing and interpreting the interactive mechanisms of regional urbanization and global environmental change. This study constructed a regional Dynamic Urban Expansion Model(Reg-DUEM) suitable for different scenarios by integrating the Artificial Neural Network (ANN) and Cellular Automaton (CA) model. Firstly we analyzed the temporal and spatial characteristics of urban expansion and acquired a prior knowledge rules using land use/cover change datasets of Beijing-Tianjin-Tangshan metropolitan area. The future urban expansion under different scenarios is then simulated based on a baseline model, economic models, policy models and the structural adjustment model. The results indicate that Reg-DUEM has good reliability for a non-linear expansion simulation at regional scale influenced by macro-policies. The simulating results show that future urban expansion patterns from different scenarios of the metropolitan area have the tremendous spatio-temporal differences. Future urban expansion will shift quickly from Beijing metropolis to the periphery of Tianjin and Tangshan city along coastal belt.

Key words: Beijing-Tianjin-Tangshan Metropolitan Area, urban expansion simulation, GIS, remote sensing

匡文慧, 刘纪远, 邵全琴, 何剑锋, 孙朝阳, 田汉勤, 班艺舫. 区域尺度城市增长时空动态模型及其应用[J]. 地理学报, 2011, 66(2): 178-188.

KUANG Wenhui, LIU Jiyuan, SHAO Quanqin, HE Jianfeng, SUN Chaoyang, TIAN Hanqin, BAN Yifang. Dynamic Urban Growth Model at Regional Scale and Its Application[J]. Acta Geographica Sinica, 2011, 66(2): 178-188.

参考文献

[1] Churkina G. Modeling the carbon cycle of urban systems. Ecological Modeling, 2008, 216(2): 107-113.

[2] Svirejeva-Hopkins A, Schellnhuber H J. Urban expansion and its contribution to the regional carbon emissions usingthe model based on the population density distribution. Ecological Modeling, 2008, 216(2): 208-216.

[3] Zhao Rongqin, Huang Xianjin, Xu Hui et al. Progress in the research of carbon cycle and management of urbansystem. Journal of Natural Resources, 2009, 24(10): 1847-1859. [赵荣钦, 黄贤金, 徐慧等. 城市系统碳循环与碳管理研究进展. 自然资源学报, 2009, 24(10): 1847-1859.]

[4] Grimm N B, Faeth S H, Golubiewski N C et al. Global change and the ecology of cities. Science, 2008, 319(5864):756-760.

[5] Montgomey M R. The urban transformation of the developing world. Science, 2008, 319(5864): 761-764.

[6] Batty M. The size, scale, and shape of cities. Science, 2008, 319(5864): 769-771.

[7] IHDP Report No.15. Urbanization and global environment change. International Human Dimensions Programme onGlobal Environmental Change, 2005: 1-60.

[8] Zhou Chenghu, Sun Zhanli, Xie Yichun. The Research of Geographical Cellular Automata. Beijing: Science Press,1999. [周成虎, 孙战利, 谢一春. 地理元胞自动机研究. 北京: 科学出版社, 1999.]

[9] Batty M, Longley P. Fractal Cities. London: Academic Press, 1994.

[10] Li Xia, Yeh A G O. The application of principal analysis and cellular automata in the spatial decision and urbansimulation. Science in China: Series D, 2001, 31(8): 683-690. [黎夏, 叶嘉安. 主成分分析与Cellular Automata 在空间决策与城市模拟中的应用. 中国科学: D辑, 2001, 31(8): 683-690.]

[11] He Chunyang, Norio Okada, Zhang Qiaofeng et al. Modeling urban expansion scenarios by coupling cellular automatamodel and system dynamic model in Beijing, China. Applied Geography, 2006, 26(3/4): 323-345.

[12] Pijanowski B C, Brown D G, Shellito B A et al. Using neural networks and GIS to forecast land use changes: A landtransformation model. Computers, Environment and Urban Systems, 2002, 26(6): 553-575.

[13] Tan Minghong, Li Xiubin, Xie Hui et al. Urban land expansion and arable land loss in China: A case study ofBeijing-Tianjin-Hebei region. Land Use Policy, 2005, 22(3): 187-196.

[14] Jiang Dong, Zhang Dafang, Xu Xinliang et al. Integrated evaluation of urban development suitability based on remotesensing and GIS techniques: A case study in Jing-Jin-Ji area, China. Sensors, 2008, (8): 5975-5986.

[15] Lu Dadao. Urbanization process and spatial sprawl in China. Urban Planning Forum, 2007, (4): 47-52. [陆大道. 我国的城镇化进程与空间扩张. 城市规划学刊, 2007, (4): 47-52.]

[16] Yao Shimou, Wang Chen, Zhang Luocheng et al. The influencing factors of resources and environments in the processof urbanization of China. Progress in Geography, 2008, 27(3): 94-100. [姚士谋, 王辰, 张落成等. 我国资源环境对城镇化问题的影响因素. 地理科学进展, 2008, 27(3): 94-100.]

[17] Liu Jiyuan. Macro-scale Survey and Dynamic Study of Natural Resources and Environment of China by RemoteSensing. Beijing: China Science and Technology Press,1996. [刘纪远. 中国资源环境遥感宏观调查与动态研究. 北京:中国科学技术出版社, 1996.]

[18] Liu Jiyuan, Zhang Zengxiang, Zhuang Dafang. A study on the spatial-temporal dynamic changes of land-use and

driving forces analyses of China in the 1990s. Geographical Research, 2003, 22(1): 1-12. [刘纪远, 张增祥, 庄大方等. 20 世纪90 年代中国土地利用变化时空特征及其成因分析. 地理研究, 2003, 22(1): 1-12.]

[19] Liu Jiyuan, Buheaosier. Study on spatial-temporal feature of modern land-use change in China: Using remote sensingtechniques. Quaternary Sciences, 2000, 20(3): 229-239. [刘纪远, 布和敖斯尔. 中国土地利用变化现代时空特征的研究: 基于卫星遥感数据. 第四纪研究, 2000, 20(3): 229-239.]

[20] Liu Jiyuan, Zhang Zengxiang, Xu Xinliang et al. Spatial patterns and driving forces of land use change in China in the early 21st century. Acta Geographica Sinica, 2009, 64(12): 1411-1420. [刘纪远, 张增祥, 徐新良等. 21 世纪初中国土地利用变化的空间格局与驱动力分析. 地理学报, 2009, 64(12): 1411-1420.]

[21] Fan Jie. Regional Overall Planning in Jing-Jin-Ji Metropolitan Circle. Beijing: Science Press, 2008. [樊杰. 京津冀都市圈区域综合规划研究. 北京: 科学出版社, 2008.]

[22] Lu Dadao. http://www.stdaily.com/other/dzkj/2009/1101/5-7.htm. [陆大道. 都市经济区发展背景与走向. 北京科技交流学术月纵论京津冀区域一体化发展, 2009.]

[23] Wang Huijun. Focusing on uncertainity of climate change and promoting studies of regional environment simulation.simulation. http://www.sciencenet.cn/sbhtmlnews/2009/12/227109.html. [王会军. 重视气候变化不确定性加强区域环境模拟研究. 科学时报, 2009.]

区域尺度城市增长时空动态模型及其应用

Dynamic Urban Growth Model at Regional Scale and Its Application

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