This study proposes an operational and multidisciplinary model for the sustainable management and enhancement of fragile architectural heritage in marginal mountain areas, with a specific focus on the built environment of the Abruzzo Apennines. Anchored in the objectives of the 2030 Agenda—particularly Target 11.4 on cultural heritage protection—and within the thematic framework of the ReUso conference, the model addresses the challenges posed by accessibility, resource scarcity, and depopulation in these territories. The research leverages advanced technologies such as artificial intelligence, participatory information systems, and immersive environments (AR/VR) to support predictive maintenance, real-time monitoring, and community engagement. The model is structured according to the principles of the Data Value Chain, promoting a data-driven approach to architectural conservation and asset management. By reframing architectural reuse as a process that integrates digital innovation and user-centered practices, the study contributes to a circular and inclusive vision of heritage valorization. This approach fosters adaptive reuse strategies that are environmentally sustainable, socially resilient, and economically feasible, supporting long-term territorial regeneration and the digital transition of inner areas.
AI e co-progettazione: modelli integrati per la gestione intelligente del ciclo di vita edilizio
Antonio Cristino
Co-primo
;Antonio Vasapollo
Co-primo
2025-01-01
Abstract
This study proposes an operational and multidisciplinary model for the sustainable management and enhancement of fragile architectural heritage in marginal mountain areas, with a specific focus on the built environment of the Abruzzo Apennines. Anchored in the objectives of the 2030 Agenda—particularly Target 11.4 on cultural heritage protection—and within the thematic framework of the ReUso conference, the model addresses the challenges posed by accessibility, resource scarcity, and depopulation in these territories. The research leverages advanced technologies such as artificial intelligence, participatory information systems, and immersive environments (AR/VR) to support predictive maintenance, real-time monitoring, and community engagement. The model is structured according to the principles of the Data Value Chain, promoting a data-driven approach to architectural conservation and asset management. By reframing architectural reuse as a process that integrates digital innovation and user-centered practices, the study contributes to a circular and inclusive vision of heritage valorization. This approach fosters adaptive reuse strategies that are environmentally sustainable, socially resilient, and economically feasible, supporting long-term territorial regeneration and the digital transition of inner areas.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


