Chiara Marchionni

Dr. Chiara Marchionni

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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5 September 2025 in Sustainability
Verified
Journal Article
Open access
PDF file
Muhammad EhtshamMuhammad Ehtsham
Muhammad Ehtsham
Giuliana ParisiGiuliana Parisi
Giuliana Parisi
FPFlavia Pedone
Flavia Pedone
FRFederico Rossi
Federico Rossi
MZMarta Zincani
Marta Zincani
Chiara MarchionniChiara Marchionni
Chiara Marchionni
The integration of digital technologies with Artificial Intelligence could serve as a strategic approach to achieving the goals set by the European Union, mainly concerning sustainability, carbon emission reduction, and digitalization in the construction sector. In this regard, this paper aims to examine the major trends in the application of AI integrated with digital technologies to boost the environmental sustainability of the built environment throughout its life cycle. A systematic literature review was conducted, in accordance with the PRISMA guidelines, inspecting the Scopus database from 2015 to 2025. After having applied specific exclusion and inclusion criteria, 102 studies have been examined to identify key trends and transformative innovations enhancing sustainable approaches for the built environment. The results have been systematized based on the phases of the building life cycle which are impacted most by AI-powered digital technologies, and on sustainability areas that are attracting the greatest attention. The main research gaps are identified in the limited exploration of renovation and end-of-life phases of the life cycle, in the lack of technologies interoperability, in data complexity and quality issues, in a lack of cost-effective solutions, and in limited regulation and standardization.

3 June 2025
Verified
Book Chapter
Closed access
PDF file
MRMarianna Rotilio
Marianna Rotilio
Chiara MarchionniChiara Marchionni
Chiara Marchionni
FCFederica Cucchiella
Federica Cucchiella

26 August 2026 in Sustainability
Verified
Journal Article
Open access
PDF file
FCFederica Cucchiella
Federica Cucchiella
Marianna RotilioMarianna Rotilio
Marianna Rotilio
Muhammad EhtshamMuhammad Ehtsham
Muhammad Ehtsham
Chiara MarchionniChiara Marchionni
Chiara Marchionni
The availability of environmental indicators at the NUTS-2 level remains limited in European statistical sources, often resulting in regional sustainability analyses that reflect short-term policy dynamics rather than long-term conditions. To address this gap, this paper proposes a parsimonious framework based on a spatial stock indicator measuring the share of artificial land within each region (ENV_ARTIFICIAL_LAND), derived from CORINE Land Cover data and aggregated at the NUTS-2 level. Rather than serving as a short-term metric of policy performance, the indicator describes an inherited territorial stock reflecting historical land-use trajectories, consistent with path-dependent development processes. Using the Italian NUTS-2 regions as a case study, the indicator is analysed alongside key socio-economic variables covering economic capacity, social vulnerability, and human capital formation through a non-aggregative, quadrant-based trade-off framework. The results suggest pronounced regional asymmetries and structural mismatches, demonstrating that territorial rigidities and socio-economic outcomes follow differentiated, non-linear alignments. From a policy perspective, the analysis highlights the limits of uniform benchmarking and underscores the necessity of place-based strategies tailored to inherited spatial constraints. Future developments will include integration into territorialised lifecycle frameworks, to account for the cumulative effects of land occupation and environmental debt. While this framework offers a transparent screening tool for regional spatial rigidity, its convergent validity against high-resolution spatial datasets (such as HRL Imperviousness) and disaggregated land-use subclasses remains to be formally tested in future empirical research.

1 November 2025
Verified
Book Chapter
Closed access
PDF file
FCFederica Cucchiella
Federica Cucchiella
Chiara MarchionniChiara Marchionni
Chiara Marchionni
MRMarianna Rotilio
Marianna Rotilio


1 March 2016 in Open House International
Verified
Journal Article
Open access
Pierluigi De BerardinisPierluigi De Berardinis
Pierluigi De Berardinis
Chiara MarchionniChiara Marchionni
Chiara Marchionni
Marianna RotilioMarianna Rotilio
Marianna Rotilio
AFAvi Friedman
Avi Friedman
The dry construction techniques, widely used in past centuries have seen a renewed interest in the last few years. This is due to different reasons such as the new user’s needs for high quality at low cost, the shortage of traditional skilled labor, the need to reduce delivery times and the rising costs of initiating a fabrication plant. Dry construction methods regard the building site as the place of assembly. The quality of the finish products, are guaranteed by a factory controlled production process and reduction to a minimum of on-site work. The building, designed by “unconnected boxes” becomes an “active machine”, capable of ensuring maximum performance for the user. Finally the design of an “open building system” also consists of a set of rules to allow creation of various solutions. The complexity of this modus operandi increases progressively if the intervention is carried out in small historic centres. Therefore, this research aims at presenting a method of work that uses dry construction systems and that has been developed to intervene in the historic contexts damaged by the earthquake that struck the Abruzzo region on April 6, 2009. This method develops a process that aimes at the rehabilitation of the buildings but also at improving their energy behavior while respecting, at the same time, the vernacular values. It is based on a “case by case” approach that starts from an analysis of the context and its local construction techniques, taking into account the peculiarities of each location. The results of this method have been applied to a small village located in the province of L'Aquila called Santa Maria del Ponte.