Purpose: The goal is to deliver a decision-support framework to both public and private entities engaged in energy retrofit investments in the property market.Design/methodology/approach: The evaluation algorithm that is being offered takes an innovative approach to financial and economic analysis. Its foundation is a market-driven/cost-driven method, drawing logic from operational research and goal programming.Findings: The algorithm is tested to a real estate portfolio yielding an optimal asset retrofitting schedule. The ranking list is determined by taking into consideration a variety of parameters, including investment costs and total CO₂ emissions from energy retrofit initiatives. The Carbon Risk Real Estate Monitor’s (CRREM) emission targets for 2030 are employed as a reference point in the process of creating a ranking list of the assets that compose the real estate portfolio under examination.Practical implications: The evaluation algorithm will allow to determine, in a real estate portfolio, a priority list of assets to be enhanced. This is accomplished by taking into account the client’s financial resources, the overall cost of the intervention programmes for each asset, and the effects that each asset would have on the environment and the energy once the suggested retrofit programme is put into place.Originality/value: The study proposes a methodological approach that seeks to balance the optimisation of energy performance, the reduction of environmental effect, the promotion of social well-being and economic sustainability in the context of managing the current property sector.

This study examines the economic and financial implications of the upcycling process and Design for Disassembly (DfD) applied to an “authorial” building. The objective is to examine the economic benefits deriving from the reuse of construction materials by quantifying the savings obtained through the reduction of disposal costs and CO₂ emissions in comparison with a traditional linear economic model. The methodological approach has been developed with the aid of Building Information Modeling (BIM) in order to provide an accurate estimation of both costs and environmental impacts related to the disassembly and reuse of materials. The financial analysis is based on local market prices to assess the savings associated with the reuse of building components compared to their disposal in landfills. The case study demonstrates the feasibility of this approach under real conditions, underscoring the transformative potential of upcycling in the construction industry, highlighting how this strategy can simultaneously improve economic efficiency and reduce environmental impact. The research offers a significant contribution to the debate on sustainable building practices and may serve as a starting point for future investigations.

The rapid urbanization of contemporary cities represents one of the most complex challenges of the 21st century, with profound implications for the environmental, social, and economic sustainability of territories. In this context, urban regeneration emerges as a strategic approach to territorial transformation. The complexity of urban dynamics requires the adoption of innovative paradigms and systemic approaches capable of guiding decision-making processes toward eco-sustainable and resilient solutions. This research develops advanced decision support tools for urban regeneration, using the city of Potenza (Italy) as a case study. The main objective is to identify key indicators to evaluate the effectiveness of urban regeneration interventions in advance (ex-ante). The methodology develops a composite economic-financial risk index capable of providing an accurate picture of existing conditions while adapting to the territorial specificities of the analyzed area. This index, which uses the Analytic Hierarchy Process (AHP) technique to integrate elementary economic-financial indicators in order to assess the sustainability level of urban redevelopment projects, is able to synthesize complex economic variables into a single parameter of immediate comprehension, strategically guiding investments toward a sustainable urban development model. The analysis of results highlights a peculiar territorial configuration: semi-central areas present the greatest criticalities, while there is a progressive decrease in risk both toward the central core and toward peripheral and extra-urban areas. The study represents a significant methodological contribution to future urban regeneration initiatives at the local level, promoting an integrated vision of sustainable urban development for the benefit of current and future generations.

This research aims to illustrate and implement innovative methods for property valuation, by comparing their respective outcomes in terms of statistical accuracy and empirical reliability. In particular, the paper describes and compares three market approach methods through an application to a case study located in the city of Rome (Italy), in order to outline their ability to rationalise the assessment in dynamic contexts and minimise the professional valuer’s subjectivity. This work represents a new reference for valuers, in order to refine their estimates and guarantee transparency in their use, avoiding the risk of black boxes that frequently characterizes mass appraisal techniques (e.g. neural networks, genetic algorithms, multiple regressions, etc.), for which constant updating of the database originating the price functions would be necessary to appropriately describe the current market conditions.