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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-98...
Part of book or chapter of book . 2020 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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SLow Onset Disaster Events Factors in Italian Built Environment Archetypes

Authors: Graziano Salvalai; Nicola Moretti; Juan Diego Blanco Cadena; Enrico Quagliarini;

SLow Onset Disaster Events Factors in Italian Built Environment Archetypes

Abstract

Resilience of the built environment is a primary issue to provide the citizens users a high-quality environment and livable cities. The aim of this research is to identify the Built Environment (BE) typologies prone to the Slow Onset Disasters (SLODs), in Italian cities. A SLOD can be defined as an uninterrupted, gradual or variable, low intensity and high frequency event that generates a negative effect on population, which on the long term can generate significant health and environmental decay. The results of the research have demonstrated that some SLODs type are more impacting within the built environment: the air pollution concentration and the increasing temperatures. Moreover, it has been demonstrated that some urban archetypes: the piazza, piazzale and the urban canyon are more prone to produce negative effects on the population through amplification of the consequences of the exposure to the SLODs. The article concludes with some insights (solar radiation and wind tunneling analysis) on the most critical architypes, for understanding better how they perform under specific conditions. This research, within the context of the Italian research project (PRIN) BE S2ECURe, is to be intended as the first step towards the definition of a method for assessment of the effects of the SLODs risk on a specific part of the city.

Country
Italy
Keywords

Resilience; Built environment; Slow onset disaster; Urban heat island; Air pollution

  • BIP!
    Impact byBIP!
    citations
    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).
    9
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
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!
9
Top 10%
Average
Top 10%