id |
ecaade2024_151 |
authors |
Wurzer, Gabriel; Salkic, Nirmala Maja; Lorenz, Wolfgang E. |
year |
2024 |
title |
Visualizing Urban Transformations using a 3D Cellular Automaton |
source |
Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 657–664 |
doi |
https://doi.org/10.52842/conf.ecaade.2024.2.657
|
summary |
Urban transformation is key to achieving more livable and sustainable cities. However, modelling this evolution is highly non-trivial since there are many factors at play that manifest themselves in the built (or: non-built/restored) environment. In our most recent work, we have represented urban change as rules of a three-dimensional Cellular Automaton. With these rules we represent a variety of retrofitting options - additive (e.g. densification through roof extensions, facade greening, installation of solar panels) or subtractive (e.g. soil descaling), that lead to urban change as an emergent outcome. The editing of rules is embedded into a web-based visualization which acts as a test-bed and platform we have used in a design studio setting and can thus report on our lessons learned in that context. |
keywords |
Cellular Automata, Urban Transformation, Web Tool |
series |
eCAADe |
email |
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full text |
file.pdf (1,130,115 bytes) |
references |
Content-type: text/plain
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last changed |
2024/11/17 22:05 |
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