Acta Geographica Sinica ›› 2011, Vol. 66 ›› Issue (2): 178-188.doi: 10.11821/xb201102004

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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. 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

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