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Adapting principles of developmental biology and agent-based modelling for automated urban residential layout design

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  • Yuchao Sun
  • John Taplin

Abstract

The objective is to automate the design of residential layouts as an aid for planners dealing with complex situations. The algorithm COmputational Urban Layout Design, applied to sites with various shapes, is guided by the goal of many mutually accessible residences and can be set to generate orthogonal or irregular road layouts. Using biological principles of genomic equivalence, conditional differentiation and induction, it grows from an embryonic ‘adaptive cell’ into a plan. Cells are ‘genetically identical’ with full development potential and can simultaneously lay roads and residential lots, using the gene set to change cell expression and adapt to local contexts. Cells can be seen as self-propagating agents that sort out their dependencies through local interactions. When COmputational Urban Layout Design is set to grow a non-orthogonal layout, the plan has winding roads and irregular residential lots. Such a plan achieves the objective of relatively high residential density and accessibility, leading to walkable and coherent communities.

Suggested Citation

  • Yuchao Sun & John Taplin, 2018. "Adapting principles of developmental biology and agent-based modelling for automated urban residential layout design," Environment and Planning B, , vol. 45(5), pages 973-993, September.
    • Handle: RePEc:sae:envirb:v:45:y:2018:i:5:p:973-993
    DOI: 10.1177/2399808317690156
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    1. David O'Sullivan & Mordechai Haklay, 2000. "Agent-Based Models and Individualism: Is the World Agent-Based?," Environment and Planning A, , vol. 32(8), pages 1409-1425, August.
    2. Feng Xie & David Levinson, 2009. "Modeling the Growth of Transportation Networks: A Comprehensive Review," Networks and Spatial Economics, Springer, vol. 9(3), pages 291-307, September.
    3. Fangxia Zhao & Jianjun Wu & Huijun Sun & Ziyou Gao & Ronghui Liu, 2016. "Population-driven Urban Road Evolution Dynamic Model," Networks and Spatial Economics, Springer, vol. 16(4), pages 997-1018, December.
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