La ricostruzione del centro Italia: quale strategia eco-solidale/Central Italy reconstruction: an eco-solidarity strategy

01 Pubblicazione su rivista
Cumo Fabrizio, Pennacchia Elisa, Sferra Adriana Scarlet
ISSN: 1128-8019

The theme of the Conference is focused on the current conditions in urban centres; on the future challenges for public policies – as part of a reform of national urban planning legislation – coming from the new needs of society and placing the territory at the centre as the “object” and “subject” of planning and production of services.
These themes are “vital” in areas destroyed by seismic events, for which it is necessary to find through new approaches and new rules adequate immediate and long-term responses.
The contribution investigates the main technical, procedural and regulatory steps following the seismic events in Central Italy (from 2016 to date) necessary to conciliate: emergency, reconstruction, planning of eco-solidarity services.
A complex process, as close as possible to territorial characteristics and requirements, which forces a reflection on future urban planning and the functions that can be carried out in it, combining planning, security, participation addressed simultaneously and interdisciplinary, with a long-term political project: the main prerequisites for the resumption of economic activity and for the reshaping of the urban and social fabric.
With regard to the identification of the planning/design of sustainable interventions – in the awareness that climate is today overwhelmingly emerging among the causes of social inequalities – we refer to the international research experiences (SoURCE project-Sustainable Urban Cells) carried out at the Interdepartmental Center Territory, Building, Restoration, Environment (Citera) of Sapienza University of Rome.
The aim is therefore to highlight new paradigms of reconstruction that must be declined with reference to the territory and its needs coming from below – identifying priorities and subjects also with innovative institutional methods – avoiding the unrealistic and high risk hypothesis of working by models.

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