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

Bibliographic Data

ID21248177
AuthorsYuchao Sun (0000-0002-6749-6309, The University of Western Australia, corresponding author), John Taplin (0000-0002-7218-1950, The University of Western Australia)
Year2018
Volume45
Issue5
Pages973-993
Publication date2018-09-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning B Urban Analytics and City Science (JOURNAL)
Journal identifiersISSN: 2399-8083 • E-ISSN: 2399-8091
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/2399808317690156
OpenAlexW2585073696
LanguageEN
Citations received2
References cited48

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

Biology · Database · Page layout · Programming language · sort · Architecture and Computational Design · Computer Science · Land Use and Ecosystem Services · Mathematics · Urban Design and Spatial Analysis

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