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

Shao Yu Cha; Tay Sheng Jeng

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

Shao Yu Cha
, Tay Sheng Jeng

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
Editors	Matthias Hank Haeusler, Marc Aurel Schnabel, Tomohiro Fukuda
Publisher	The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)
Pages	121-130
Number of pages	10
ISBN (Electronic)	9789887891727
Publication status	Published - 2019
Event	24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019 - Wellington, New Zealand Duration: 2019 Apr 15 → 2019 Apr 18

Publication series

Name	Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019
Volume	2

Conference

Conference	24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019
Country/Territory	New Zealand
City	Wellington
Period	19-04-15 → 19-04-18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

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. S. (2019). Developing algorithmic methodology to visualize & Evaluate the dynamics of urban form in the early design phase. In M. H. Haeusler, M. A. Schnabel, & 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, Tay Sheng. / 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 / Matthias Hank Haeusler ; Marc Aurel Schnabel ; 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).

@inproceedings{9e8cdcefe567439399d05f776735b936,

title = "Developing algorithmic methodology to visualize \& Evaluate the dynamics of urban form in the early design phase",

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.",

author = "Cha, \{Shao Yu\} and Jeng, \{Tay Sheng\}",

note = "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: {\textcopyright} 2019 and published by the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong.; 24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019 ; Conference date: 15-04-2019 Through 18-04-2019",

year = "2019",

language = "English",

series = "Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019",

publisher = "The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)",

pages = "121--130",

editor = "Haeusler, \{Matthias Hank\} and Schnabel, \{Marc Aurel\} and Tomohiro Fukuda",

booktitle = "Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019",

}

Cha, SY & Jeng, TS 2019, Developing algorithmic methodology to visualize & Evaluate the dynamics of urban form in the early design phase. in MH Haeusler, MA Schnabel & 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, Tay Sheng.
Intelligent and Informed - Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2019. ed. / Matthias Hank Haeusler; Marc Aurel Schnabel; 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 proceeding › Conference contribution

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 -

Cha SY, Jeng TS. Developing algorithmic methodology to visualize & Evaluate the dynamics of urban form in the early design phase. In Haeusler MH, Schnabel MA, 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).

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

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

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