TY - GEN
T1 - Developing algorithmic methodology to visualize & Evaluate the dynamics of urban form in the early design phase
AU - Cha, Shao Yu
AU - Jeng, Tay Sheng
N1 - Funding Information:
This work was supported by the Taiwan Ministry of Science and Technology, grant No. MOST 106-3116-F-006-001
Funding Information:
Future research will explore both computational methods and interactive workflows. The former investigation will include a grammar-based data synthesis approach. This approach will require the conception of a relevant representational and description model for the generation and analysis of building information from urban plans. The model will draw on existing research and development on shape grammars, description grammars, sortal grammars and structures, and be driven by relevant analysis requirements. Acknowledgement This work was supported by the Taiwan Ministry of Science and Technology, grant No. MOST 106-3116-F-006-001
Publisher Copyright:
© 2019 and published by the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:85068407279
T3 - Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
SP - 121
EP - 130
BT - Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
A2 - Haeusler, Matthias Hank
A2 - Schnabel, Marc Aurel
A2 - Fukuda, Tomohiro
PB - The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)
T2 - 24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019
Y2 - 15 April 2019 through 18 April 2019
ER -