The implementation of a double Multi-Attribute Decision-Making approach for ranking adaptive reuse solutions on dismissed industrial heritage warehouses: the sustainable conversion of the former livestock market site in Bari

Building adaptation policies have become ubiquitous within city regeneration processes, especially regarding abandoned sheds. The raising awareness of experts toward the reuse of existing industrial heritage has increasing the attention to promote sustainable scenarios. However, the conversion of dismissed assets lacks consistency if effective decision-making strategies are not improved. Decision Support Systems (DSSs) can offer an efficient methodological framework to solve such conflicts, supporting professionals in the evaluation of adaptive reuse projects. This paper presents a double application of the Multi-Attribute Value Theory (MAVT) to rank both functional and architectural proposals, identifying the most feasible reuse scenario to transform the former livestock market site in Bari. The research aims to strengthen the coexistence between DSSs and building conversion interventions in the field of industrial heritage, simplifying stakeholders’ choices in vulnerable contexts.