Development of a multiple-criteria decision assessment framework for adaptive reuse case study building selection

dc.contributor.authorYakubu, Een_US
dc.contributor.authorEgbelakin, Ten_US
dc.contributor.authorRasheed, Een_US
dc.contributor.authorMbachu, Jen_US
dc.contributor.authorShahzad, Wen_US
dc.coverage.spatialWA224 Conference Centre, AUT Campus, 55 Wellesley St E. Aucklanden_US
dc.date.available2017-10-31en_US
dc.date.finish-date2017-10-18en_US
dc.date.issued2017-10-31en_US
dc.date.start-date2017-10-17en_US
dc.description.abstractA number of theoretical methodologies for the selection of best adaptive reuse alternatives have been reported from empirical evidence. However, these frameworks have their distinct weaknesses when applied in the selection process for optimal adaptive reuse alternative. This paper therefore focuses on developing and testing an integrated multiple-criteria decision assessment framework for the selection of best adaptive reuse alternative from two case study buildings, in New Zealand, toward achieving sustainable town-centre living.en_US
dc.description.confidentialfalseen_US
dc.identifierhttp://construction.massey.ac.nz/NZBERS-2017.htmen_US
dc.identifier.citationAdvancing collaborative built environment research and practice in New Zealand, 2017en_US
dc.identifier.elements-id422307
dc.identifier.harvestedMassey_Dark
dc.publisher.urihttp://construction.massey.ac.nz/NZBERS-2017.htmen_US
dc.relation.isPartOfAdvancing collaborative built environment research and practice in New Zealanden_US
dc.rightsThe Author(s)en_US
dc.sourceTHE 5TH ANNUAL NZBERS 2017en_US
dc.titleDevelopment of a multiple-criteria decision assessment framework for adaptive reuse case study building selectionen_US
dc.typeConference Paper
pubs.notesNot knownen_US
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/School of Built Environment
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
85681d_b1b348c544a740d2aab11cdda431d365.pdf
Size:
5.8 MB
Format:
Adobe Portable Document Format
Description: