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Housing plays a key role in the world path to energy transition, and retrofitting buildings is a major asset to this end. Unfortunately, despite the supporting measures and incentives promoted in many countries, the renovation rate is still too slow. This is even more complex within some specific assets, such as social housing, which, especially in Italy, depends on the availability of public funds. The study proposes a predictive tool conceived as an enabler in the decision-making process, capable of considering and comparing the performance levels that different retrofitting actions can reach, according to building features, intervention costs, timing, and resource availability. The tool is tested on a social housing case study in Bologna. [ABSTRACT FROM AUTHOR]

Housing is the main environmental impact generator (62 %) of the whole building sector, but it also has the greatest reduction potential. Enhancing its performance is thus crucial to sustainable development. Social Housing (SH) represents a critical asset within the residential segment, due to the recurrent investment shortage and several environmental, social, and economic related implications. In Italy, SH is held by around one hundred public agencies facing endemic resource constraints for both maintenance and retrofitting, which are limited further by a diffused lack of information regarding the conditions and features of the buildings they manage. In cooperation with an Italian SH agency (ACER Bologna), we developed a speedy tool to compare the technical and economic effects of different refurbishment scenarios on a case-by-case basis. This is not a tool to manage retrofitting works, as the many already available, but a means to help large housing managers overcome the intention-action gap that limit their capacity to properly prioritize interventions based on reliable information. The research focuses on the validation of the fast procedure for estimating the baseline energy scenario, arguing that the relatively small inaccuracies are irrelevant for the scope of the tool and are compensated for by the time saved. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has amplified a crisis that has already been underway for at least a decade: to stimulate recovery, the EU has put in place an impressive package of measures, the implementation of which is largely left to the national authorities. This would require a systematic reading of the territory, which in Italy clashes with the chronic lack of effective paths to interconnect the political levels to the decision- making processes at different scales. This article presents a method for mapping the relationships between the main environmental challenges and the response (individual and collective) that the community, if enabled, is able to offer in terms of adapting its behaviour. The method consists of a matrix of relationships between environmental priorities and behavioural models. [ABSTRACT FROM AUTHOR]