Developing algorithmic methodology to visualize & Evaluate the dynamics of urban form in the early design phase

Shao Yu Cha, Taysheng Jeng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationIntelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
EditorsMarc Aurel Schnabel, Matthias Hank Haeusler, Tomohiro Fukuda
PublisherThe Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)
Pages121-130
Number of pages10
ISBN (Electronic)9789887891727
Publication statusPublished - 2019 Jan 1
Event24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019 - Wellington, New Zealand
Duration: 2019 Apr 152019 Apr 18

Publication series

NameIntelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
Volume2

Conference

Conference24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019
CountryNew Zealand
CityWellington
Period19-04-1519-04-18

Fingerprint

Planning

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Cha, S. Y., & Jeng, T. (2019). Developing algorithmic methodology to visualize & Evaluate the dynamics of urban form in the early design phase. In M. A. Schnabel, M. H. Haeusler, & T. Fukuda (Eds.), Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019 (pp. 121-130). (Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019; Vol. 2). The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA).
Cha, Shao Yu ; Jeng, Taysheng. / Developing algorithmic methodology to visualize & Evaluate the dynamics of urban form in the early design phase. Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019. editor / Marc Aurel Schnabel ; Matthias Hank Haeusler ; Tomohiro Fukuda. The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), 2019. pp. 121-130 (Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019).
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abstract = "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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Cha, SY & Jeng, T 2019, Developing algorithmic methodology to visualize & Evaluate the dynamics of urban form in the early design phase. in MA Schnabel, MH Haeusler & T Fukuda (eds), Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019. Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019, vol. 2, The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), pp. 121-130, 24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019, Wellington, New Zealand, 19-04-15.

Developing algorithmic methodology to visualize & Evaluate the dynamics of urban form in the early design phase. / Cha, Shao Yu; Jeng, Taysheng.

Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019. ed. / Marc Aurel Schnabel; Matthias Hank Haeusler; Tomohiro Fukuda. The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), 2019. p. 121-130 (Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019; Vol. 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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

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Cha SY, Jeng T. Developing algorithmic methodology to visualize & Evaluate the dynamics of urban form in the early design phase. In Schnabel MA, Haeusler MH, Fukuda T, editors, Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019. The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA). 2019. p. 121-130. (Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019).