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supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id caadria2019_218
authors Cha, Shao-Yu and Jeng, Tay-Sheng
year 2019
title Developing Algorithmic Methodology to Visualize & Evaluate the Dynamics of Urban Form in the Early Design Phase
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 121-130
summary Advances in algorithmic and architectural methodology is challenging the current practice of conventional and participatory urban design. This paper presents a prototype implementation of a computational urban design tool. This implementation provides a rule-based approach to urban design by developing algorithmic methodology to visualize, analyze the dynamics of urban form in the early design phase. We focus on synthesizing data and demonstrate how data synthesis approaches can be used to support performance analysis at early planning and design stages. The implementation shows a flexible workflow that supports performance analyses and can easily be integrated into design and planning processes.
keywords Algorithmic Methodology; Urban Form; Generative Design; Analysis Tool
series CAADRIA
email cha.aoup@gmail.com
full text file.pdf (3,922,310 bytes)
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