Resilient Communities: A Novel Workflow

This study presents a novel workflow to define how resilient communities can be analysed and improved through the optimisation of sustainable design principles through quantitative methods. Our model analyses successful sustainable communities extracting information about daily routines (commuting,...

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Autores principales:	Silvio Carta, Luigi Pintacuda, Ian Wyn Owen, Tommaso Turchi
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	resilient communities machine learning net-zero communities resilience quantitative methods Engineering (General). Civil engineering (General) TA1-2040 City planning HT165.5-169.9
Acceso en línea:	https://doaj.org/article/c275fd06b0524690be98bafb22563e86
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spelling	oai:doaj.org-article:c275fd06b0524690be98bafb22563e862021-11-16T07:41:56ZResilient Communities: A Novel Workflow2297-336210.3389/fbuil.2021.767779https://doaj.org/article/c275fd06b0524690be98bafb22563e862021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fbuil.2021.767779/fullhttps://doaj.org/toc/2297-3362This study presents a novel workflow to define how resilient communities can be analysed and improved through the optimisation of sustainable design principles through quantitative methods. Our model analyses successful sustainable communities extracting information about daily routines (commuting, working, use of buildings etc.). From these routines, we infer a set of key successful aspects based on location, density and proximity. We then model a resilient community and analyse it using a combination of clustering techniques to find patterns and correlations in the success of existing communities. The proposed workflow is applied to the city of Copenhagen as a case study. The aim of the proposed model is to suggest to designers and city-level policy makers improvements (with manipulation of variables like density, proximity and location of urban typologies) to help them to achieve different levels of sustainable goals as set out by the United Nations Global Challenges including integration inclusiveness and resilience. By using a clustering technique, patterns of proximity have been identified along with density and initial correlations in the observed urban typologies. Some of these correlations were used to illustrate the potential of this novel workflow.Silvio CartaLuigi PintacudaIan Wyn OwenTommaso TurchiFrontiers Media S.A.articleresilient communitiesmachine learningnet-zero communitiesresiliencequantitative methodsEngineering (General). Civil engineering (General)TA1-2040City planningHT165.5-169.9ENFrontiers in Built Environment, Vol 7 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	resilient communities machine learning net-zero communities resilience quantitative methods Engineering (General). Civil engineering (General) TA1-2040 City planning HT165.5-169.9
spellingShingle	resilient communities machine learning net-zero communities resilience quantitative methods Engineering (General). Civil engineering (General) TA1-2040 City planning HT165.5-169.9 Silvio Carta Luigi Pintacuda Ian Wyn Owen Tommaso Turchi Resilient Communities: A Novel Workflow
description	This study presents a novel workflow to define how resilient communities can be analysed and improved through the optimisation of sustainable design principles through quantitative methods. Our model analyses successful sustainable communities extracting information about daily routines (commuting, working, use of buildings etc.). From these routines, we infer a set of key successful aspects based on location, density and proximity. We then model a resilient community and analyse it using a combination of clustering techniques to find patterns and correlations in the success of existing communities. The proposed workflow is applied to the city of Copenhagen as a case study. The aim of the proposed model is to suggest to designers and city-level policy makers improvements (with manipulation of variables like density, proximity and location of urban typologies) to help them to achieve different levels of sustainable goals as set out by the United Nations Global Challenges including integration inclusiveness and resilience. By using a clustering technique, patterns of proximity have been identified along with density and initial correlations in the observed urban typologies. Some of these correlations were used to illustrate the potential of this novel workflow.
format	article
author	Silvio Carta Luigi Pintacuda Ian Wyn Owen Tommaso Turchi
author_facet	Silvio Carta Luigi Pintacuda Ian Wyn Owen Tommaso Turchi
author_sort	Silvio Carta
title	Resilient Communities: A Novel Workflow
title_short	Resilient Communities: A Novel Workflow
title_full	Resilient Communities: A Novel Workflow
title_fullStr	Resilient Communities: A Novel Workflow
title_full_unstemmed	Resilient Communities: A Novel Workflow
title_sort	resilient communities: a novel workflow
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/c275fd06b0524690be98bafb22563e86
work_keys_str_mv	AT silviocarta resilientcommunitiesanovelworkflow AT luigipintacuda resilientcommunitiesanovelworkflow AT ianwynowen resilientcommunitiesanovelworkflow AT tommasoturchi resilientcommunitiesanovelworkflow
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Resilient Communities: A Novel Workflow

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