Adapting principles of developmental biology and agent-based modelling for automated urban residential layout design
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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23998083
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Supplemental Notes:
- © The Author(s) 2017.
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Authors:
- Sun, Yuchao
- Taplin, John
- Publication Date: 2018-9
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 973-993
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Serial:
- Environment and Planning B: Urban Analytics and City Science
- Volume: 45
- Issue Number: 5
- Publisher: Sage Publications Limited
- ISSN: 2399-8083
- EISSN: 2399-8091
- Serial URL: http://journals.sagepub.com/home/epb
Subject/Index Terms
- TRT Terms: Mathematical models; Residential areas; Urban areas; Urban design
- Subject Areas: Design; Planning and Forecasting; Transportation (General);
Filing Info
- Accession Number: 01857488
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 12 2022 10:22AM