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  1. Pubblicazioni

Bottom-Up Processes for Culture-Led Urban Regeneration Scenarios

Contributo in Atti di convegno
Data di Pubblicazione:
2019
Citazione:
Bottom-Up Processes for Culture-Led Urban Regeneration Scenarios / DELLA SPINA, L., Giorno, C., Galati Casmiro, R.. - 11622:(2019), pp. 93-107. (International Conference on Computational Science and Its Applications -ICCSA 2019 Università di San Pietroburgo, San Pietroburgo, Russia 1-4 luglio 2019) [10.1007/978-3-030-24305-0_8].
Abstract:
Theresearchexploredthepotentialitiesofanintegratedapproachto identify the preferable culture-led urban regeneration scenarios for Catanzaro (Italy). Through a process of knowledge of the urban contest it was possible to identify and analyse transformation also through shared values, as constitutive elements of the vision of the place; through these, it was possible to interact and understand the transformations in progress by developing an intervention strategy that can guide and support a process of culture-led regeneration. The Multi-Criteria and multi-group assessment was carried out through the Analytic Network Process (ANP) method, which allow to support the design of shared and transparent planning and design choices, according to a bottom-up approach. The decision-making process, in its different phases and results, allows making explicit the components that significantly influence the local transformations and that could guide the interaction between the different involved stakeholders towards a shared common vision.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Keywords:
Urban regeneration ; Culture-led regeneration scenarios ; Multi-Criteria Decision Aid (MCDA)
Elenco autori:
DELLA SPINA, Lucia; Giorno, C; Galati Casmiro, R
Autori di Ateneo:
DELLA SPINA Lucia
Link alla scheda completa:
https://iris.unirc.it/handle/20.500.12318/17562
Titolo del libro:
Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science
Pubblicato in:
LECTURE NOTES IN ENGINEERING AND COMPUTER SCIENCE
Series
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URL

https://link.springer.com/chapter/10.1007/978-3-030-24305-0_8#citeas
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