The research concerns the redevelopment of school building assets topic and intends to apply an evaluation methodological approach for the optimal allocation of available financial resources. In the current context characterized by the need to properly use the public funding by avoiding towaste the given precious opportunity and to start effective urban interventions, in the present analysis the implementation of anmethodology aimed to determine the project solution capable of minimizing the existing gap between the final cost and the spending budget set for the intervention is carried out. The case study is related to the city of Rome and, in particular, regard 111 energy retrofit projects of school buildings located in the 15 municipalities included in the context of the Italian capital. The application of the method allows to compare the estimated total costs with the preliminarily set monetary limit and to identify the categories of work “to be modified” in order to be under budget and to maintain an adequate quality and performance standard of the different project components. In particular, for each work category of the considered initiatives a very low value differential between the already estimated costs and the optimal costs is determined.

The Redevelopment of School Building Assets: The Application of an Evaluation Model for the Optimal Allocation of Available Financial Resources / Tajani, Francesco; Morano, Pierluigi; Di Liddo, Felicia; De Paola, Pierfrancesco. - 1188:(2024), pp. 57-68. (Intervento presentato al convegno Networks, Markets & People - Communities, Institutions and Enterprises Towards Post-humanism Epistemologies and AI Challenges tenutosi a Reggio Calabria; Italy) [10.1007/978-3-031-74716-8_6].

The Redevelopment of School Building Assets: The Application of an Evaluation Model for the Optimal Allocation of Available Financial Resources

Francesco Tajani;
2024

Abstract

The research concerns the redevelopment of school building assets topic and intends to apply an evaluation methodological approach for the optimal allocation of available financial resources. In the current context characterized by the need to properly use the public funding by avoiding towaste the given precious opportunity and to start effective urban interventions, in the present analysis the implementation of anmethodology aimed to determine the project solution capable of minimizing the existing gap between the final cost and the spending budget set for the intervention is carried out. The case study is related to the city of Rome and, in particular, regard 111 energy retrofit projects of school buildings located in the 15 municipalities included in the context of the Italian capital. The application of the method allows to compare the estimated total costs with the preliminarily set monetary limit and to identify the categories of work “to be modified” in order to be under budget and to maintain an adequate quality and performance standard of the different project components. In particular, for each work category of the considered initiatives a very low value differential between the already estimated costs and the optimal costs is determined.
2024
Networks, Markets & People - Communities, Institutions and Enterprises Towards Post-humanism Epistemologies and AI Challenges
Cost assessment; Optimization algorithm; Financial resources; NRRP; School buildings; Redevelopment; Property enhancement
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
The Redevelopment of School Building Assets: The Application of an Evaluation Model for the Optimal Allocation of Available Financial Resources / Tajani, Francesco; Morano, Pierluigi; Di Liddo, Felicia; De Paola, Pierfrancesco. - 1188:(2024), pp. 57-68. (Intervento presentato al convegno Networks, Markets & People - Communities, Institutions and Enterprises Towards Post-humanism Epistemologies and AI Challenges tenutosi a Reggio Calabria; Italy) [10.1007/978-3-031-74716-8_6].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1729817
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