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dc.contributor.convenorChimay Anumba, Penn State University, USAen_AU
dc.contributor.authorAlsulami, Badren_US
dc.contributor.authorMohamed, Sherifen_US
dc.contributor.editorAnumba, C.J., Bouchlaghem, N.M., Messner, J.I. and Parfitt, M.Ken_US
dc.date.accessioned2017-05-03T15:25:16Z
dc.date.available2017-05-03T15:25:16Z
dc.date.issued2010en_US
dc.date.modified2011-06-22T06:49:34Z
dc.identifier.refurihttp://www.engr.psu.edu/ae/AEC-Innov/index.aspen_AU
dc.identifier.urihttp://hdl.handle.net/10072/36124
dc.description.abstractSustainable development (SD) is a concept with multi-dimensional aspects. Through a pattern of resource use, SD aims to enhance both economic and social growth, while minimizing negative environmental impacts. Vital contributors to SD are the civil infrastructure systems (CIS) which have a huge impact on the spatial and temporal dimensions. Examining the performance sustainability of CIS requires an interdisciplinary approach involving social, environmental, economic, and engineering sciences. This hard and complex process necessitates a proper assessment of the diverse conditions under which the CIS operates. Nevertheless, to date, many attempts have been made to develop sustainability performance assessment frameworks for CIS. All of these frameworks have failed to consider two key facts underpinning the SD concept, namely the interaction between sustainability aspects; and the temporal inter-relation between different life cycle phases for CIS. This paper introduces a novel approach utilizing fuzzy cognitive mapping to model the interaction among sustainability indicators in the context of CIS. The proposed approach considers system complexity through modelling dynamic interaction among sustainability indicators, and the dynamics interaction between the CIS itself and its neighbourhood. Also, it considers the temporal inter-relationship between the different life cycle phases for the CIS, by adopting life cycle-based sustainability indicators.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent143847 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherDepartment of Civil and Building Engineering, Loughborough Universityen_US
dc.publisher.placeState College, PA, U.S.Aen_US
dc.publisher.urihttp://www.engr.psu.edu/ae/AEC-Innov/index.aspen_AU
dc.relation.ispartofstudentpublicationYen_AU
dc.relation.ispartofconferencename6th International Conference on Innovation in Architecture, Engineering and Construction (AEC)en_US
dc.relation.ispartofconferencetitle6th International Conference on Innovation in Architecture, Engineering and Construction (AEC)en_US
dc.relation.ispartofdatefrom2010-06-09en_US
dc.relation.ispartofdateto2010-06-11en_US
dc.relation.ispartoflocationState College, PA, U.S.Aen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchConstruction Engineeringen_US
dc.subject.fieldofresearchcode090502en_US
dc.titleIncorporating System Complexity in Sustainability Assessment for Civil Infrastructure Systems: An Innovative Approachen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2010 AEC. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.en_AU
gro.date.issued2010
gro.hasfulltextFull Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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