2024
DOI: 10.3390/buildings14010148
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A Decision Framework for the Regeneration Awareness of Large-Sized Public Housing Using a Building Transformability Assessment: A Test Case in Italy (Latina)

Lorenzo Diana,
Cristina Passarelli,
Francesco Polverino
et al.

Abstract: In the frame of developing sustainable, reliable, and regenerative interventions on existing buildings, namely on large-scale public housing, the implementation of functional, technological, and effective strategies is devoted to thoroughly assessing the transformability of buildings using trustworthy performance indicators. With this aim, in the present paper, an assessment framework tool is presented and tested to evaluate the potential of buildings for transformation through the detection of regeneration st… Show more

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Cited by 2 publications
(1 citation statement)
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“…Future research directions could build on the following recently proposed innovations: replacing traditional Portland cement with blended "green" cements and adding up to 25% wood ash to partitions [53], incorporating phase change materials into lightweight partitions in hot Mediterranean climates [54], and replacing lightweight partitions in large public housing complexes [55]. In addition, environmental analyses of partitions can benefit from applied sensitivity analyses in relation to different LCIA methods and the extended life-cycle of a building.…”
Section: Future Research Directionsmentioning
confidence: 99%
“…Future research directions could build on the following recently proposed innovations: replacing traditional Portland cement with blended "green" cements and adding up to 25% wood ash to partitions [53], incorporating phase change materials into lightweight partitions in hot Mediterranean climates [54], and replacing lightweight partitions in large public housing complexes [55]. In addition, environmental analyses of partitions can benefit from applied sensitivity analyses in relation to different LCIA methods and the extended life-cycle of a building.…”
Section: Future Research Directionsmentioning
confidence: 99%