The Potential Adaptive Reuse of the Urban Properties: An Innovative Multicriteria Assessment Model for Effective Achievement of the Sustainable Development Goals

The decision-making process aimed at identifying the most suitable adaptive reuse of existing abandoned properties is often focused on physical and structural conditions. This way leads to solutions that can be detached from the dynamics of the surrounding context, whereas it is an important matter in the process of achieving urban sustainability. The decision, in fact, entails a complex set of issues that require adequate knowledge of the property to be renovated and the economic, social, cultural, and environmental features of the near urban context. The aim of the research is to develop an innovative Adaptive Reuse Potential Impacts (ARPI) model that is able to determine the overall potential adaptive reuse of degraded buildings by including the potential impacts that the intervention can generate on the economic, social, cultural, and environmental sphere of the urban area. The proposed ARPI model consists of an integration of the complex set of ARP issues into an innovative assessment approach structured into ordered and sequential phases that employ multicriteria principles. The innovative contribution of the proposed ARPI model lies in two aspects: firstly, the assessment of the potential impacts that the adaptive reuse intervention could generate on the economic, social, cultural, and environmental levels of the surrounding urban area; secondly, the improvement of the urban decay assessment of the buildings with the integration of both quantitative and qualitative factors of the AR process through the multicriteria adoption. It can be used by public and private subjects involved in the ARP decision-making processes by providing a clear ranking of the most potential interventions to realize. Future developments of the research concern the application to a real case study of the proposed model in order to verify its efficiency and robustness and specify all the involved indicators.