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Modeling of Urban Post-disaster Reconstruction Using Extended Cellular Automata

  • Conference paper
Book cover Geo-Informatics in Resource Management and Sustainable Ecosystem (GRMSE 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 399))

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Abstract

A city is the symbol of human beings civilization. A sudden natural disaster may let this thousand-of-years civilization be destroyed in a minute, so the post-disaster reconstruction is an inevitable task of human encounter. Based on the dynamic mechanism for urban reconstruction and the features of city renewal, we presented the principle and technical procedures for constructing an extended cellular automata (CA) reconstruction model, used the model to simulate and analyze the extended urban post-disaster reconstruction of Great Tangshan, and made a comparison with the city’s status and overall planning results. The model considered the overall interacting relationship among spatial elements affecting cellular transition rules. These elements include policy and planning, cellular desire (demand), population, degree of destruction and so on. The simulation results show that the CA model can predict the direction of urban development and reconstruction, and provide theoretical basis for authorities to effectively make the land management rules and policies in urban post-disaster reconstruction.

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References

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Author information

Authors and Affiliations

  1. School of Information Science and Technology, Zhongkai University of Agriculture Engineering Guangzhou, Guangdong, China

    Yun Cheng

  2. School of Economics and Management, China Three Gorges University, Yichang, Hubei, China

    Zhaoyang He

  3. Institute for Geospatial Research and Education, Eastern Michigan University, 125 King Hall, Ypsilanti, Michigan, 48197, USA

    Yichun Xie

  4. School of Computer Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China

    Huifang Deng

Authors
  1. Yun Cheng
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  2. Zhaoyang He
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  3. Yichun Xie
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  4. Huifang Deng
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Editor information

Editors and Affiliations

  1. Wuhan University, No. 37, Luoyu Road, 430079, Wuhan, Hubei, China

    Fuling Bian

  2. Institute for Geospatial Research and Education, Michigan University, 125 King Hall, 48197, Ypsilanti, MI, USA

    Yichun Xie

  3. Wuhan University, No 37 Luoyu Road, 430079, Wuhan, Hubei, China

    Xiaohui Cui  & Yixin Zeng  & 

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© 2013 Springer-Verlag Berlin Heidelberg

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Cheng, Y., He, Z., Xie, Y., Deng, H. (2013). Modeling of Urban Post-disaster Reconstruction Using Extended Cellular Automata. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2013. Communications in Computer and Information Science, vol 399. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41908-9_9

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  • DOI: https://doi.org/10.1007/978-3-642-41908-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41907-2

  • Online ISBN: 978-3-642-41908-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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