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dc.contributor.authorMercader-Moyano, Pilar
dc.contributor.authorCamporeale, Patricia
dc.contributor.authorSerrano Jiménez, Antonio José
dc.date.accessioned2023-09-19T07:52:45Z
dc.date.available2023-09-19T07:52:45Z
dc.date.issued2023-10-01
dc.identifier.citationP. Mercader-Moyano et al. Integrated urban regeneration for high-rise multi-family buildings by providing a multidimensional assessment model and decision support system. Journal of Building Engineering 76 (2023) 107359. [https://doi.org/10.1016/j.jobe.2023.107359]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/84488
dc.descriptionData availability Data will be made available on request. Acknowledgements This work was supported through funds, materials, and technical equipment as part of the 68/83 LOU contract through the project entitled: Multidimensional evaluation model for integrated urban regeneration as climate change mitigation strategies. (Contract art.68/83 with project code FIUS23/0210 and CGT:0632) . Finally, the authors would also like to thank David Dolbear for the native English proofreading.es_ES
dc.description.abstractCurrent urban challenges on promoting an integrated urban regeneration demand new decision support systems to adjust and optimise renovation strategies in the housing stock. This research aims to provide a multidimensional decision support system, specifically focused on high-rise multi-family buildings, which entails an added complexity in the design and decision-making stages of building renovation. The need to promote assessment protocols of key parameters that promote a viable and efficient renovation in high-rise multi-family buildings constitutes a research gap to be fulfilled in this study. This research contributes with an assessment and weighting model based on 12 indicators, both during and after renovation works, under 4 multidisciplinary dimensions: Technical; Social; Economic; and Environmental, in a-5 to 5 drawback-benefit index scale. An application procedure has been tested in two representative neighbourhoods in Argentina and Spain, identified by GIS resources, and demonstrating its operation and usefulness for vulnerable neighbourhoods due to global inflation. The implications of the graphic output of results, weighted for Mild, Moderate, Intense and Deep action strategies, allows us to identify drawbacks and benefits of each strategy independently, for each of the 12 indicators, visualising the trend, performance and variations between dimensions and strategies in large-scale buildings. Conclusions generate key recommendations and insights on decision-making patterns to urban policymakers by ensuring feasible and satisfactory renovation strate-gies in high-rise multi-family buildings.es_ES
dc.description.sponsorshipContract art.68/83: FIUS23/0210, CGT:0632es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBuilt environmentes_ES
dc.subjectDecision support systemes_ES
dc.subjectMultidisciplinary assessment modeles_ES
dc.subjectHigh-rise multi-family buildingses_ES
dc.subjectUrban regenerationes_ES
dc.titleIntegrated urban regeneration for high-rise multi-family buildings by providing a multidimensional assessment model and decision support systemes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.jobe.2023.107359
dc.type.hasVersionVoRes_ES


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