The transformation of abandoned industrial areas guarantees new living standards in the urban suburbs. The theme of urban regeneration plays an important role for building recovery in derelict peripheral areas. The uncontrolled urban sprawl decreases the possibilities for urban development and increases the interventions for the conversion of existing structures. Adaptive reuse strategies refurbish existing unused buildings into contemporary spaces, giving them new functional purpose. In this paper, considering the industrial area of Bari-Modugno, a detailed analysis of the typological characteristics of industrial constructions is shown. These empty volumes are classified according to the construction period and their intrinsic features. The proposed Design Criteria System (DCS) manages the factors that most affect the building regeneration process. It analyses the seven main categories, predicted in the S. Conejos adaptSTAR Model, with the insertion of macro and microscopes. The methodological approach considers a first classification of abandoned industrial buildings, trying to evaluate their potentials and weaknesses through multicriteria decision-making methods. The use of performance matrix allows to compare the status of decay, the predicted functions and the figures involved in the conversion process, evaluating possible solution to simplify the choices selection from the DCS. The model, under implementation, can assist stakeholders decision-making processes for factory reuse, considering sustainable practices and outcomes. In addition, the DCS provides to identify the smart refurbishment actions of obsolete structure to highlight the flexibility of adaptive reuse interventions. This research illustrates that the hypothesized model is a good alternative to adopt adaptive reuse strategies on abandoned warehouses and recommends future uses by government authorities to simplify the transformation processes, minimizing times and costs of intervention and amplifying benefits for society.
Smart approaches for industries conversion through adaptive reuse models: The industrial area of bari-modugno / Vizzarri, C.; Baccaro, A.; Fatiguso, F.. - (2020), pp. 2363-2371. (Intervento presentato al convegno 8th Euro-American Congress on Construction Pathology, Rehabilitation Technology and Heritage Management, REHABEND 2020 tenutosi a esp nel 2020).
Smart approaches for industries conversion through adaptive reuse models: The industrial area of bari-modugno
Vizzarri C.;Baccaro A.;Fatiguso F.
2020-01-01
Abstract
The transformation of abandoned industrial areas guarantees new living standards in the urban suburbs. The theme of urban regeneration plays an important role for building recovery in derelict peripheral areas. The uncontrolled urban sprawl decreases the possibilities for urban development and increases the interventions for the conversion of existing structures. Adaptive reuse strategies refurbish existing unused buildings into contemporary spaces, giving them new functional purpose. In this paper, considering the industrial area of Bari-Modugno, a detailed analysis of the typological characteristics of industrial constructions is shown. These empty volumes are classified according to the construction period and their intrinsic features. The proposed Design Criteria System (DCS) manages the factors that most affect the building regeneration process. It analyses the seven main categories, predicted in the S. Conejos adaptSTAR Model, with the insertion of macro and microscopes. The methodological approach considers a first classification of abandoned industrial buildings, trying to evaluate their potentials and weaknesses through multicriteria decision-making methods. The use of performance matrix allows to compare the status of decay, the predicted functions and the figures involved in the conversion process, evaluating possible solution to simplify the choices selection from the DCS. The model, under implementation, can assist stakeholders decision-making processes for factory reuse, considering sustainable practices and outcomes. In addition, the DCS provides to identify the smart refurbishment actions of obsolete structure to highlight the flexibility of adaptive reuse interventions. This research illustrates that the hypothesized model is a good alternative to adopt adaptive reuse strategies on abandoned warehouses and recommends future uses by government authorities to simplify the transformation processes, minimizing times and costs of intervention and amplifying benefits for society.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
