BIM e spazio pubblico: Strategie di codifica informativa per la resilienza urbana e la transizione ecologica e digitale / BIM and public space: information coding strategies for urban resilience and the ecological and digital transition

In the context of the ongoing digital and ecological transition, public space is increasingly recognized as a strategic infrastructure for urban resilience. No longer a merely functional container, it has emerged as a dynamic design device capable of enhancing social, environmental, and technological transformations. However, current digital tools - especially Building Information Modeling (BIM) - remain underutilized in relation to public space, particularly when it comes to the representation, cataloguing, and assessment of its vegetative, technological, and environmental elements. This paper presents the results of a research project developed within the framework of a technical-scientific agreement between the Department of Architecture and Design of Sapienza University of Rome and the Agenzia del Demanio – Struttura per la Progettazione. The study proposes a strategy for the informative coding of public space components in a BIM environment, with the aim of supporting circular resource use, environmental sustainability, and climate adaptation in public asset management. The proposed methodology includes the development of a scalable and interoperable data system organized around three macro-categories - vegetation, pavements, and urban furniture -- each defined through property sets aligned with IFC standards and ESG-oriented performance indicators. The research also considers international best practices, the national regulatory framework, and the growing relevance of digital standards in public procurement. The resulting guidelines provide a replicable and extensible knowledge infrastructure for public administrations and professionals, supporting predictive maintenance, environmental monitoring, and the integration of digital planning tools such as digital twins. Ultimately, this approach aims to enhance data-driven urban governance and contribute to sustainable and inclusive transformations of the built environment.