A multivariable regression tool for embodied carbon footprint prediction in housing habitat

A novel embodied carbon prediction tool has been developed for conventionally constructed housing units. Single and double storey terraced, semi-detached and detached housing projects were evaluated by adoption of partial life cycle assessment (LCA) framework. The statistical technique of multivaria...

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Main Authors: Gardezi, S.S.S., Shafiq, N., Zawawi, N.A.W.A., Khamidi, M.F., Farhan, S.A.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.30879 /
Published: Elsevier Ltd 2016
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953924456&doi=10.1016%2fj.habitatint.2015.11.005&partnerID=40&md5=905adab4205a84386d0dc0604e7dbbe7
http://eprints.utp.edu.my/30879/
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spelling utp-eprints.308792022-03-25T07:40:15Z A multivariable regression tool for embodied carbon footprint prediction in housing habitat Gardezi, S.S.S. Shafiq, N. Zawawi, N.A.W.A. Khamidi, M.F. Farhan, S.A. A novel embodied carbon prediction tool has been developed for conventionally constructed housing units. Single and double storey terraced, semi-detached and detached housing projects were evaluated by adoption of partial life cycle assessment (LCA) framework. The statistical technique of multivariable regression analysis was merged with LCA and building information modeling (BIM) for prediction of such environmental issue in housing sector. The assessment was limited to pre-use phase with LCA boundary of "cradle to site". The criteria and requirements for a statistically consistent and efficient prediction tool were successfully satisfied with an acceptable average prediction error of less than ±5. Based on very basic explanatory variables, the tool also helped to manage the barrier of huge data requirements for such environmental studies. The study is expected to act as a milestone and help the researchers and industry professionals for quick, effective and sustainable environmental assessment, decision making and solutions. © 2015 Elsevier Ltd. Elsevier Ltd 2016 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953924456&doi=10.1016%2fj.habitatint.2015.11.005&partnerID=40&md5=905adab4205a84386d0dc0604e7dbbe7 Gardezi, S.S.S. and Shafiq, N. and Zawawi, N.A.W.A. and Khamidi, M.F. and Farhan, S.A. (2016) A multivariable regression tool for embodied carbon footprint prediction in housing habitat. Habitat International, 53 . pp. 292-300. http://eprints.utp.edu.my/30879/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description A novel embodied carbon prediction tool has been developed for conventionally constructed housing units. Single and double storey terraced, semi-detached and detached housing projects were evaluated by adoption of partial life cycle assessment (LCA) framework. The statistical technique of multivariable regression analysis was merged with LCA and building information modeling (BIM) for prediction of such environmental issue in housing sector. The assessment was limited to pre-use phase with LCA boundary of "cradle to site". The criteria and requirements for a statistically consistent and efficient prediction tool were successfully satisfied with an acceptable average prediction error of less than ±5. Based on very basic explanatory variables, the tool also helped to manage the barrier of huge data requirements for such environmental studies. The study is expected to act as a milestone and help the researchers and industry professionals for quick, effective and sustainable environmental assessment, decision making and solutions. © 2015 Elsevier Ltd.
format Article
author Gardezi, S.S.S.
Shafiq, N.
Zawawi, N.A.W.A.
Khamidi, M.F.
Farhan, S.A.
spellingShingle Gardezi, S.S.S.
Shafiq, N.
Zawawi, N.A.W.A.
Khamidi, M.F.
Farhan, S.A.
A multivariable regression tool for embodied carbon footprint prediction in housing habitat
author_sort Gardezi, S.S.S.
title A multivariable regression tool for embodied carbon footprint prediction in housing habitat
title_short A multivariable regression tool for embodied carbon footprint prediction in housing habitat
title_full A multivariable regression tool for embodied carbon footprint prediction in housing habitat
title_fullStr A multivariable regression tool for embodied carbon footprint prediction in housing habitat
title_full_unstemmed A multivariable regression tool for embodied carbon footprint prediction in housing habitat
title_sort multivariable regression tool for embodied carbon footprint prediction in housing habitat
publisher Elsevier Ltd
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84953924456&doi=10.1016%2fj.habitatint.2015.11.005&partnerID=40&md5=905adab4205a84386d0dc0604e7dbbe7
http://eprints.utp.edu.my/30879/
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score 11.62408

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