Wilderness as a Factor of Urban Planning: Using data-driven methods for imagining rewilded cities

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461071%3A_____%2F24%3AN0000031" target="_blank" >RIV/60461071:_____/24:N0000031 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.52842/conf.ecaade.2024.2.339" target="_blank" >https://doi.org/10.52842/conf.ecaade.2024.2.339</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.52842/conf.ecaade.2024.2.339" target="_blank" >10.52842/conf.ecaade.2024.2.339</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Wilderness as a Factor of Urban Planning: Using data-driven methods for imagining rewilded cities

Popis výsledku v původním jazyce

Recognizing the ecological challenges, the paper explores data-driven workflow for ur-ban and landscape planning through the incorporation of rewilding as a crucial factor of computational design. The proposed methodology unfolds in stages, beginning with comprehensive data collection, followed by data interpretation, creation of an informed space and its materialization. Variety of geographic, statistical and spatial data can be used to inform a dynamic digital space. This low-fidelity environment is then used as an informed space for deploying computational design tool, namely growth algorithm on a scale of city planning. Design techniques were tested on a case study considering identifi-cation and restoration of wetlands lost to urbanization. This paper explores the inter-section of data-driven digital methods and urban planning, emphasizing the pivotal role of rewilding in shaping urban landscapes. Proposed digital workflow allows designers for territorial mapping and better informed decision-making with regard to ecosystem functions integration and restoration.

Název v anglickém jazyce

Wilderness as a Factor of Urban Planning: Using data-driven methods for imagining rewilded cities

Popis výsledku anglicky

Recognizing the ecological challenges, the paper explores data-driven workflow for ur-ban and landscape planning through the incorporation of rewilding as a crucial factor of computational design. The proposed methodology unfolds in stages, beginning with comprehensive data collection, followed by data interpretation, creation of an informed space and its materialization. Variety of geographic, statistical and spatial data can be used to inform a dynamic digital space. This low-fidelity environment is then used as an informed space for deploying computational design tool, namely growth algorithm on a scale of city planning. Design techniques were tested on a case study considering identifi-cation and restoration of wetlands lost to urbanization. This paper explores the inter-section of data-driven digital methods and urban planning, emphasizing the pivotal role of rewilding in shaping urban landscapes. Proposed digital workflow allows designers for territorial mapping and better informed decision-making with regard to ecosystem functions integration and restoration.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

60401 - Arts, Art history

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Data-Driven Intelligence – Volume 2 - Proceedings of the 42nd Conference on Education and Research in Com-puter Aided Architectural Design in Europe (eCAADe 2024)

ISBN

9789491207389

ISSN

2684-1843

e-ISSN

—

Počet stran výsledku

8

Strana od-do

339-346

Název nakladatele

eCAADe (Education and re-search in Computer Aided Architectural Design in Europe) a University of Cyprus, De-partment of Architecture

Místo vydání

Kypr

Místo konání akce

Kypr

Datum konání akce

1. 1. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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