The UISH Project is based on the idea of a smart city, understood as a paradigm shift in urban governance: every decision stems from objective reasoning based on real data and scientifically sound simulations.
Predictive models and technologies enable the identification of needs and critical issues, the planning of interventions, and the rationalization of resource use.
An approach to Urban Intelligence based on multidisciplinary skills, detailed analysis, and specific IT technologies, to collect and manage large amounts of data and provide an integrated interpretation.
The project aims to develop and propose an urban intelligence model that can be applied to the country’s diverse realities, from metropolitan scales to small municipalities. This model identifies the digital transition of cities as an enabling factor for the growth of local communities and for generating inclusive multi-stakeholder governance and strategic planning processes.
To this end, the reference model envisages a modular GDU architecture, aiming to analyze the city in its various subsystems (mobility, built environment, water, greenery, etc.) and matching each of these with a Thematic Digital Twin characterized by scientific approaches, numerical models, services and functionalities, and specific data sources.
Urban Intelligence aims to put the complexity of cities back at the center of urban governance; it promotes the study of cities as a “system of systems,” analyzing the interconnections between systems and subsystems, using a multilevel approach. The digital system pairs the city’s main physical subsystems with thematic digital twins.
Decision support summarizes the purpose of thematic digital twins. Understanding the functioning of the various subsystems, their replication, and their integration, is motivated by the need to monitor the overall system and intervene to prevent unwanted behavior or facilitate its movement in a specific direction.
Urban science is a complex process that integrates and involves multiple interacting disciplines and fields of expertise. The robust, multi-objective, multidisciplinary optimization architecture for interrogating the digital twin and the resulting decision-making will enable the identification of optimal city management solutions.
The UISH project provides a hub for cities wishing to join this network and experiment with the UI model. Upon expression of interest from interested cities, the CNR will offer technical and scientific support to develop a potential roadmap of activities necessary for the development of Urban Digital Twins, based on available assets (technological, digital, etc.) and the objectives of individual cities.
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