Data-driven urban regeneration: university housing in the ex-Corradini factory in Naples

Abstract

This paper develops a decision-making methodology for urban regeneration projects based on the use of data-driven procedures and technologies for the conversion of former industrial areas to residential use. The proposed approach is aimed at the elaboration of an information management protocol for the generation of design scenarios, starting from the assessment of the regulatory and technical compatibility of the possible transformations with the existing constraints. This paper describes the application of the methodology to several buildings in the ex-Corradini complex in Naples to be used for different types of residential functions, in a framework of high uncertainty and complexity, also due to the inaccessibility and abandonment of the site.

Keywords

• Former industrial areas
• BIM
• Data-driven decision-making
• Functional redevelopment
• Regulatory assessment