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Archivio della ricerca - Università degli studi di Napoli Federico II
Article . 2020
Data sources: Archivio della ricerca - Università degli studi di Napoli Federico II
FEDOA - IRIS Università degli Studi Napoli Federico II
Article . 2020
Data sources: FEDOA - IRIS Università degli Studi Napoli Federico II
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Approcci di computational design per la rigenerazione resiliente dello spazio pubblico/Computational design based approaches for public space resilient regeneration

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2020 Italy English
Authors: Mario Losasso; Mattia Leone; Enza Tersigni;

handle: 11588/811323

Approcci di computational design per la rigenerazione resiliente dello spazio pubblico/Computational design based approaches for public space resilient regeneration

Abstract

In ambito urbano il tema del resilient-based design per l’adattamento agli impatti climatici è fra quelli in cui è rilevante l’interdipendenza fra innovazione tecnologica, governance delle risorse e strategie di sviluppo sostenibile. Gli spazi pubblici costituiscono un sistema chiave per la sperimentazione delle più efficaci strategie per la riduzione degli impatti climatici attraverso approcci che utilizzano strumenti di computational design negli interventi di adattamento climatico. Il contributo presenta i risultati del Progetto di Ricerca di Ateneo finanziato per il periodo 2017-2019 dall’Ateneo Federico II dal titolo SIMMCITIES_NA, Scenario Impact Modelling Methodology for a Climate change-Induced hazards Tool for Integrated End-users Strategic planning and design - Napoli.

Country
Italy
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Keywords

Computational design, Rigenerazione resiliente, Adattamento climatico, Rigenerazione resiliente; Adattamento climatico; Computational design.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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