Silvia Ronchi

Prof. Dr. Silvia Ronchi

Department of Architecture and Urban Studies, Politecnico di Milano, Milano, Italy
orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2020 in Sustainable Cities and Society
Verified
Journal Article
Closed access
Silvia RonchiSilvia Ronchi
Silvia Ronchi
AAAndrea Arcidiacono
Andrea Arcidiacono
LPLaura Pogliani
Laura Pogliani

1 March 2019 in Land Use Policy
Verified
Journal Article
Closed access
Silvia RonchiSilvia Ronchi
Silvia Ronchi
Stefano SalataStefano Salata
Stefano Salata
AAAndrea Arcidiacono
Andrea Arcidiacono
EPErika Piroli
Erika Piroli
LMLuca Montanarella
Luca Montanarella


1 January 2016 in Procedia Engineering
Verified
Journal Article
Open access
AAAndrea Arcidiacono
Andrea Arcidiacono
Silvia RonchiSilvia Ronchi
Silvia Ronchi
Stefano SalataStefano Salata
Stefano Salata
The spatial assessment of Ecosystem’ Services could inform and support planning process to achieve sustainability as a major challenge for local community. Among others, the definition and implementation of Green Infrastructure based on the delivery of multiple ES is a key element of environmental planning aimed to maintain and restore the natural capital considering the interrelations between social and ecological aspects. The paper proposes a methodology for the spatial identification of the Regional Green Infrastructures in Lombardy Region (north-west of Italy) as a structural layer of landscape planning. Regional Green Infrastructures is designed to incorporate the multifunctional use of natural capital, especially its naturalistic, recreational and landscape vocation. The biophysical models of Habitat Quality were used as a proxy of natural values, the community maps of Recreation Potential with the Heritage properties was used as a proxy of recreation values, and finally a kernel density of positive visual elements has been used as a proxy of landscape values. The outputs were elaborated mainly using InVEST 3.2.0 software, integrated with a weighted overlay analysis tool of ArcGIS 10.3 version. Results were used to frame a preliminary base of landscape values for RGI, and are presented as a possible methodology to define a prescriptive layer of the new Regional Landscape Plan