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Retrieving Spatial Policy Parameters from an Alternative Plan Using Constrained Cellular Automata and Regionalized Sensitivity Analysis

Author

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  • Ying Long

    (School of Architecture, Tsinghua University, Beijing 100084, China; Beijing Institute of City Planning, Beijing 100045, China)

  • Zhenjiang Shen

    (School of Environmental Design, Kanazawa University, Kakuma Machi, Kanazawa City 920-1192, Japan)

  • Qizhi Mao

    (School of Architecture, Tsinghua University, Beijing 100084, China)

Abstract

In this paper we propose an approach to identify the spatial policy parameters (termed the implementation intensity reflecting planning controls on corresponding spatial constraint) associated with a predefined alternative plan, namely, a predefined-binary urban form. During plan implementation, the alternative plan cannot be fully realized in some cases due to practical urban growth driven by both institutional forces and market incentives, which are comprehensive and complex. Few researchers have investigated spatial policies appropriate for an alternative plan. We aim to propose a novel approach incorporating constrained cellular automata and regionalized sensitivity analysis, a method for global sensitivity analysis to calculate the realization possibility and identify the spatial policy parameters for an alternative plan. This approach is first tested in a virtual space with four predefined urban forms and various point, line, and polygon spatial constraints, with both positive and negative impacts on urban growth. Finally, the approach is also tested in the Beijing Metropolitan Area to identify the required spatial policy parameters for four alternative plans with seven spatial constraints.

Suggested Citation

  • Ying Long & Zhenjiang Shen & Qizhi Mao, 2012. "Retrieving Spatial Policy Parameters from an Alternative Plan Using Constrained Cellular Automata and Regionalized Sensitivity Analysis," Environment and Planning B, , vol. 39(3), pages 586-605, June.
    • Handle: RePEc:sae:envirb:v:39:y:2012:i:3:p:586-605
    DOI: 10.1068/b37122
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    References listed on IDEAS

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    1. Helen Couclelis, 2005. "“Where has the Future Gone?†Rethinking the Role of Integrated Land-Use Models in Spatial Planning," Environment and Planning A, , vol. 37(8), pages 1353-1371, August.
    2. Uwe Remme & Markus Blesl, 2008. "A global perspective to achieve a low-carbon society (LCS): scenario analysis with the ETSAP-TIAM model," Climate Policy, Taylor & Francis Journals, vol. 8(sup1), pages 60-75, December.
    3. Liu, Xiaoping & Li, Xia & Shi, Xun & Wu, Shaokun & Liu, Tao, 2008. "Simulating complex urban development using kernel-based non-linear cellular automata," Ecological Modelling, Elsevier, vol. 211(1), pages 169-181.
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