The refurbishment and regeneration of unused building stock, with particular attention to the historical industrial heritage, is becoming an issue increasingly influential in the strategic choices for the development of sustainable cities. In particular, the regeneration of warehouses and historic buildings, allows to preserve the memory of past architecture characters, converting them into new functional centres within the urban structure. Adaptive reuse is an important design strategy for achieving sustainability as it ensures a continuous building life cycle and prevents buildings destruction. On the other hand, an exhaustive approach to select the best adaptive reuse project, involving many qualitative and quantitative parameters is missing in related literature. This paper proposes a holistic approach for the selection of the adaptive reuse project strategies based on a suitable index and calibrated through the application of the Optimised Analytic Hierarchy Process (O-AHP) Model. The main novelty of the proposed research is threefold: i) for the first time the importance of a large number of parameters involved in the adaptive reuse project selection has been quantified according to two different panels of experts, ii) a shared priority is demonstrated by comparing the vision of Academics and Professionals; iii) a new index is calibrated on the basis of the obtained parameters importance to support the adaptive reuse project selection of dismissed industrial areas. The proposed approach considers both qualitative and quantitative data in the analysis and is calibrated according to two homogeneous panels of 30 experts (15 Academics and 15 Professionals) in the field. In order to show the potential of the proposed index, the choice of the ideal design solution of the former Enel power plant in Bari (Italy) is individuated among six project proposal of the conversion.

未使用建筑的翻新和更新，特别是对历史工业遗产的关注，正在成为对可持续城市发展战略选择影响越来越大的问题。特别是仓库和历史建筑的再生，可以保留过去建筑特征的记忆，将它们转变为城市结构内的新功能中心。适应性再利用是实现可持续性的一项重要设计策略，因为它确保了连续的建筑生命周期并防止建筑遭到破坏。另一方面，在相关文献中缺少选择最佳适应性再利用项目的详尽方法，涉及许多定性和定量参数。本文提出了一种基于合适的指标并通过应用优化的层次分析过程（O-AHP）模型进行校准的适应性再利用项目策略选择的整体方法。拟议研究的主要新颖性有三方面：i）第一次根据两个不同的专家小组对自适应重用项目选择中涉及的大量参数的重要性进行了量化，ii）共同的优先级被证明比较学者和专业人士的愿景；iii) 在获得的参数重要性的基础上校准新的指标，以支持解雇工业区的适应性再利用项目选择。建议的方法在分析中同时考虑定性和定量数据，并根据该领域 30 名专家（15 名学者和 15 名专业人员）的两个同质小组进行校准。为展示拟议指标的潜力，在改造的六个项目方案中分别选择了原位于意大利巴里的Enel发电厂的理想设计方案。