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Article: A Framework of Indicators for Assessing Construction Automation and Robotics in the Sustainability Context

TitleA Framework of Indicators for Assessing Construction Automation and Robotics in the Sustainability Context
Authors
KeywordsConstruction automation and robotics
Sustainability
Building
Indicators
Assessment framework
Issue Date2018
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jclepro
Citation
Journal of Cleaner Production, 2018, v. 182, p. 82-95 How to Cite?
Abstract“Building production” technology, i.e. construction automation and robotics (CAR), is on a worldwide level increasingly recognized as stating a key element of the future of construction, although CAR up to date has never experienced large-scale real-world implementation. However, the recent significantly growing demand for sustainability has the potential to serve as the necessitated trigger for CAR's large-scale deployment. In that context, systematic guidance for the construction industry is however missing, and there have been limited attempts to thoroughly investigate the impacts of utilizing CAR with regard to the sustainability performance of construction and buildings. The research presented in this paper makes a first step to fill this research gap by reviewing and investigating the available CAR strategies and technologies and developing for the first time a consistent framework of indicators for assessing the sustainability performance of utilizing CAR for buildings. The overall goal of the research is to develop, through this framework, a robust and reliable assessment method that can be used in the industrial context to assess the sustainability of building construction projects that consider using CAR. Beyond the development of the indicator framework, the research plan adopting the V-Model approach foresees to translate the framework into an assessment method which will then in several iteration cycles be verified and validated in real world.
Persistent Identifierhttp://hdl.handle.net/10722/261734
ISSN
2023 Impact Factor: 9.7
2023 SCImago Journal Rankings: 2.058
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorPan, M-
dc.contributor.authorLinner, T-
dc.contributor.authorPan, W-
dc.contributor.authorCheng, H-
dc.contributor.authorBock, T-
dc.date.accessioned2018-09-28T04:46:52Z-
dc.date.available2018-09-28T04:46:52Z-
dc.date.issued2018-
dc.identifier.citationJournal of Cleaner Production, 2018, v. 182, p. 82-95-
dc.identifier.issn0959-6526-
dc.identifier.urihttp://hdl.handle.net/10722/261734-
dc.description.abstract“Building production” technology, i.e. construction automation and robotics (CAR), is on a worldwide level increasingly recognized as stating a key element of the future of construction, although CAR up to date has never experienced large-scale real-world implementation. However, the recent significantly growing demand for sustainability has the potential to serve as the necessitated trigger for CAR's large-scale deployment. In that context, systematic guidance for the construction industry is however missing, and there have been limited attempts to thoroughly investigate the impacts of utilizing CAR with regard to the sustainability performance of construction and buildings. The research presented in this paper makes a first step to fill this research gap by reviewing and investigating the available CAR strategies and technologies and developing for the first time a consistent framework of indicators for assessing the sustainability performance of utilizing CAR for buildings. The overall goal of the research is to develop, through this framework, a robust and reliable assessment method that can be used in the industrial context to assess the sustainability of building construction projects that consider using CAR. Beyond the development of the indicator framework, the research plan adopting the V-Model approach foresees to translate the framework into an assessment method which will then in several iteration cycles be verified and validated in real world.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jclepro-
dc.relation.ispartofJournal of Cleaner Production-
dc.subjectConstruction automation and robotics-
dc.subjectSustainability-
dc.subjectBuilding-
dc.subjectIndicators-
dc.subjectAssessment framework-
dc.titleA Framework of Indicators for Assessing Construction Automation and Robotics in the Sustainability Context-
dc.typeArticle-
dc.identifier.emailPan, M: mipan@hku.hk-
dc.identifier.emailPan, W: wpan@hku.hk-
dc.identifier.authorityPan, M=rp02878-
dc.identifier.authorityPan, W=rp01621-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jclepro.2018.02.053-
dc.identifier.scopuseid_2-s2.0-85043589573-
dc.identifier.hkuros292864-
dc.identifier.volume182-
dc.identifier.spage82-
dc.identifier.epage95-
dc.identifier.isiWOS:000428826300009-
dc.publisher.placeNetherlands-

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