The Urban Intelligence (UI) paradigm conceived by CNR consists of an ecosystem of digital technologies joined within a Digital Twin (DT) of the city aimed at improving the city governance towards goals addressed also by the UN Agenda 2030, such as urban environment, sustainability and resilience, wellbeing and quality of life, local development, and social inclusion. In particular, UI provides a set of candidate policies in complex scenarios, and supports policy makers and stakeholders in designing shared, evidence-based, and integrated solutions. UI is being applied for the first time to two Italian cities, Matera and Catania, paving the way for a deeper scientific framing of the paradigm, as well as for the technological development and testing of the core UI ecosystem in real-life situations. The paper introduces the UI key-concepts and components, illustrates the ongoing experimentations in these pilot cities related to the development of two DTs on parts of the urban areas, and presents some initial results.

Urban Intelligence: Toward the Digital Twin of Matera and Catania

Castelli;Giordana;Cesta;Amedeo;Ciampi;Mario;De Benedictis;Riccardo;De Pietro;Giuseppe;Diez;Matteo;Felici;Giovanni;Malvezzi;Roberto;Masini;Barbara;Pellegrini;Riccardo;Scalas;Andrea;Stecca;Giuseppe;Strambini;Lucanos;Tognola;Gabriella;Ravazzani;Paolo;Campana;Emilio F
2022

Abstract

The Urban Intelligence (UI) paradigm conceived by CNR consists of an ecosystem of digital technologies joined within a Digital Twin (DT) of the city aimed at improving the city governance towards goals addressed also by the UN Agenda 2030, such as urban environment, sustainability and resilience, wellbeing and quality of life, local development, and social inclusion. In particular, UI provides a set of candidate policies in complex scenarios, and supports policy makers and stakeholders in designing shared, evidence-based, and integrated solutions. UI is being applied for the first time to two Italian cities, Matera and Catania, paving the way for a deeper scientific framing of the paradigm, as well as for the technological development and testing of the core UI ecosystem in real-life situations. The paper introduces the UI key-concepts and components, illustrates the ongoing experimentations in these pilot cities related to the development of two DTs on parts of the urban areas, and presents some initial results.
2022
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -
Istituto di Scienze e Tecnologie della Cognizione - ISTC
Istituto di iNgegneria del Mare - INM (ex INSEAN)
Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
Dipartimento Ingegneria. ICT e Tecnologie per l'energia e i trasporti - DIITET
Renewable energy sources
Urban areas
Ecosystems
Lakes
Digital twins
Sensors
Stakeholders
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/458848
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