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Simulating dynamic urban expansion at regional scale in Beijing-Tianjin-Tangshan Metropolitan Area

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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.

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References

  • Batty M, 2008. The size, scale, and shape of cities. Science, 319(5864): 769–771.

    Article  Google Scholar 

  • Batty M, Longley P, 1994. Fractal Cities. London: Academic Press. Churkina G, 2008. Modeling the carbon cycle of urban systems. Ecological Modeling, 216(2): 107–113.

    Google Scholar 

  • Fan Jie, 2008. Regional Overall Planning in Jing-Jin-Ji Metropolitan Area. Beijing: Science Press. (in Chinese)

    Google Scholar 

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

    Article  Google Scholar 

  • He C Y, Norio O, Zhang Q F et al., 2006. Modeling urban expansion scenarios by coupling cellular automata model and system dynamic model in Beijing, China. Applied Geography, 26(3/4): 323–345.

    Article  Google Scholar 

  • IHDP, 2005. Urbanization and global environment change (IHDP Report No. 15). International Human Dimensions Programme on Global Environmental Change, 1–60.

  • Jiang D, Zhang D F, Xu X L et al., 2008. Integrated evaluation of urban development suitability based on remote sensing and GIS techniques: A case study in Jing-Jin-Ji area, China. Sensors, 8: 5975–5986.

    Article  Google Scholar 

  • Li Xia, Yeh A G O, 2001. The application of principal analysis and cellular automata in the spatial decision and urban simulation. Science in China (Series D), 31(8): 683–690.

    Google Scholar 

  • Liu Jiyuan, 1996. Macro-scale Survey and Dynamic Study of Natural Resources and Environment of China by Remote Sensing. Beijing: China Science and Technology Press. (in Chinese)

    Google Scholar 

  • Liu Jiyuan, Buheaosier, 2000. Study on spatial-temporal feature of modern land-use change in China: Using remote sensing techniques. Quaternary Sciences, 20(3): 229–239. (in Chinese)

    Google Scholar 

  • Liu Jiyuan, Zhang Zengxiang, Xu Xinliang et al., 2010. Spatial patterns and driving forces of land use change in China in the early 21st century. Journal of Geographical Sciences, 20(4): 483–494.

    Article  Google Scholar 

  • Liu Jiyuan, Zhang Zengxiang, Zhuang Dafang, 2003. A study on the spatial-temporal dynamic changes of land-use and driving forces analyses of China in the 1990s. Geographical Research, 22(1): 1–12. (in Chinese)

    Google Scholar 

  • Lu Dadao, 2007. Urbanization process and spatial sprawl in China. Urban Planning Forum, (4): 47–52. (in Chinese)

  • Montgomery M R, 2008. The urban transformation of the developing world. Science, 319(5864): 761–764.

    Article  Google Scholar 

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

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Tan M H, Li X B, Xie H et al., 2005. Urban land expansion and arable land loss in China: A case study of Beijing-Tianjin-Hebei region. Land Use Policy, 22(3): 187–196.

    Article  Google Scholar 

  • Wang Huijun, 2009. Strengthening environmental simulation research at regional scale to improve the recognitions of uncertain factors from climate change. [http://www.sciencenet.cn/sbhtmlnews/2009/12/227109.html]. (in Chinese)

  • Yao Shimou, Wang Chen, Zhang Luocheng et al., 2008. The influencing factors of resources and environments in the process of urbanization of China. Progress in Geography, 27(3): 94–100. (in Chinese)

    Google Scholar 

  • Zhao R Q, Huang X J, Xu H et al., 2009. Progress in the research of carbon cycle and management of urban system. Journal of Natural Resources, 24(10): 1847–1859.

    Google Scholar 

  • Zhou Chenghu, Sun Zhanli, Xie Yichun, 1999. The Research of Geographical Cellular Automata. Beijing: Science Press. (in Chinese)

    Google Scholar 

  • Zhu Guangjing, 2009. Lu Dadao researcher explains “the background and trend of metropolitan area”. Workshop of technical and science exchange month of Beijing city: integrative development of Beijing-Tianjin-Hebei metropolitan area. [http://www.stdaily.com/other/dzkj/2009/1101/5-7.htm]. (in Chinese)

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Correspondence to Wenhui Kuang.

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Foundation: The Young Scientist Fund of National Natural Science Foundation of China, No.40901224; National Basic Research Program of China, No.2010CB950900; 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

Author: Kuang Wenhui (1978–), Ph.D Candidate and Assistant Professor, specialized in land use/cover change, remote sensing and GIS.

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Kuang, W. Simulating dynamic urban expansion at regional scale in Beijing-Tianjin-Tangshan Metropolitan Area. J. Geogr. Sci. 21, 317–330 (2011). https://doi.org/10.1007/s11442-011-0847-4

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  • DOI: https://doi.org/10.1007/s11442-011-0847-4

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