Informed Design Platform Multi-modal Data to Support Urban Design Decision Making

Bige Tunçer; Linlin You

Informed Design Platform Multi-modal Data to Support Urban Design Decision Making

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

Samenvatting

Evidence based urban design and planning support benefits from providing designers with multi-source, multi-scale and multi-time information, which is both `big' and `small', and quantitative and qualitative. We are developing a platform, namely Informed Design Platform, that adopts a (big) data driven approach to derive insights and principles in order to adaptively design or re-design various forms of urban public spaces based on usage patterns and perceptions of the public. This platform is designed using a four step methodology of data collection, integration, analysis, and visualization. Multi-source data is integrated based on three analysis dimensions: place, time and people; and four analysis pillars: utilization, activity, opinion and sensing. This paper describes the aims, the design principles, and partial results of development of this platform.

Originele taal-2	Engels
Titel	Shock - Sharing of Computable Knowledge
Redacteuren	Antonio Fioravanti, Stefano Cursi, Salma Elahmar, Silvia Gargaro, Gianluigi Loffreda, Gabriele Novembri, Armando Trento
Pagina's	545-552
Aantal pagina's	8
Status	Gepubliceerd - 2017
Extern gepubliceerd	Ja
Evenement	35th International Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2017 - Rome, Italië Duur: 20 sep. 2017 → 22 sep. 2017

Congres

Congres	35th International Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2017
Land/Regio	Italië
Stad	Rome
Periode	20/09/17 → 22/09/17

Bibliografische nota

Publisher Copyright:
© 2017, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.

Financiering

The findings published in this paper are based on the project “Liveable Places: A Building Environment Modelling Approach for Dynamic Place Making”, in principal collaboration with the Singapore Housing & Development Board (HDB, Building & Research Institute) and Urban Redevelopment Authority (URA), supported by a research grant (Grant No. SUL2013-5) from the Ministry of National Development Research Fund on Sustainable Urban Living.

Financiers	Financiernummer
Urban Redevelopment Authority	SUL2013-5

Andere bestanden en links

Link naar publicatie in Scopus

Citeer dit

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title = "Informed Design Platform Multi-modal Data to Support Urban Design Decision Making",

abstract = "Evidence based urban design and planning support benefits from providing designers with multi-source, multi-scale and multi-time information, which is both `big' and `small', and quantitative and qualitative. We are developing a platform, namely Informed Design Platform, that adopts a (big) data driven approach to derive insights and principles in order to adaptively design or re-design various forms of urban public spaces based on usage patterns and perceptions of the public. This platform is designed using a four step methodology of data collection, integration, analysis, and visualization. Multi-source data is integrated based on three analysis dimensions: place, time and people; and four analysis pillars: utilization, activity, opinion and sensing. This paper describes the aims, the design principles, and partial results of development of this platform.",

keywords = "Evidence based urban design, Information modeling, Information visualization, Multi-modal data",

author = "Bige Tun{\c c}er and Linlin You",

note = "Publisher Copyright: {\textcopyright} 2017, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.; 35th International Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2017 ; Conference date: 20-09-2017 Through 22-09-2017",

year = "2017",

language = "English",

isbn = "9789491207136",

pages = "545--552",

editor = "Antonio Fioravanti and Stefano Cursi and Salma Elahmar and Silvia Gargaro and Gianluigi Loffreda and Gabriele Novembri and Armando Trento",

booktitle = "Shock - Sharing of Computable Knowledge",

}

Tunçer, B & You, L 2017, Informed Design Platform Multi-modal Data to Support Urban Design Decision Making. in A Fioravanti, S Cursi, S Elahmar, S Gargaro, G Loffreda, G Novembri & A Trento (uitgave), Shock - Sharing of Computable Knowledge. blz. 545-552, 35th International Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2017, Rome, Italië, 20/09/17.

Informed Design Platform Multi-modal Data to Support Urban Design Decision Making. / Tunçer, Bige; You, Linlin.
Shock - Sharing of Computable Knowledge. uitgave / Antonio Fioravanti; Stefano Cursi; Salma Elahmar; Silvia Gargaro; Gianluigi Loffreda; Gabriele Novembri; Armando Trento. 2017. blz. 545-552.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - You, Linlin

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N2 - Evidence based urban design and planning support benefits from providing designers with multi-source, multi-scale and multi-time information, which is both `big' and `small', and quantitative and qualitative. We are developing a platform, namely Informed Design Platform, that adopts a (big) data driven approach to derive insights and principles in order to adaptively design or re-design various forms of urban public spaces based on usage patterns and perceptions of the public. This platform is designed using a four step methodology of data collection, integration, analysis, and visualization. Multi-source data is integrated based on three analysis dimensions: place, time and people; and four analysis pillars: utilization, activity, opinion and sensing. This paper describes the aims, the design principles, and partial results of development of this platform.

AB - Evidence based urban design and planning support benefits from providing designers with multi-source, multi-scale and multi-time information, which is both `big' and `small', and quantitative and qualitative. We are developing a platform, namely Informed Design Platform, that adopts a (big) data driven approach to derive insights and principles in order to adaptively design or re-design various forms of urban public spaces based on usage patterns and perceptions of the public. This platform is designed using a four step methodology of data collection, integration, analysis, and visualization. Multi-source data is integrated based on three analysis dimensions: place, time and people; and four analysis pillars: utilization, activity, opinion and sensing. This paper describes the aims, the design principles, and partial results of development of this platform.

KW - Evidence based urban design

KW - Information modeling

KW - Information visualization

KW - Multi-modal data

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A2 - Novembri, Gabriele

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T2 - 35th International Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2017

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Informed Design Platform Multi-modal Data to Support Urban Design Decision Making

Samenvatting

Congres

Bibliografische nota

Financiering

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