Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97506
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dc.contributorDepartment of Building and Real Estateen_US
dc.creatorWang, RDen_US
dc.creatorZayed, Ten_US
dc.creatorPan, Wen_US
dc.creatorZheng, Sen_US
dc.creatorTariq, Sen_US
dc.date.accessioned2023-03-06T01:19:41Z-
dc.date.available2023-03-06T01:19:41Z-
dc.identifier.issn0926-5805en_US
dc.identifier.urihttp://hdl.handle.net/10397/97506-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2020 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Wang, R. D., Zayed, T., Pan, W., Zheng, S., & Tariq, S. (2021). A system boundary-based critical review on crane selection in building construction. Automation in Construction, 123, 103520 is available at https://doi.org/10.1016/j.autcon.2020.103520.en_US
dc.subjectBuilding constructionen_US
dc.subjectCrane selectionen_US
dc.subjectReviewen_US
dc.subjectSystem boundaryen_US
dc.titleA system boundary-based critical review on crane selection in building constructionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume123en_US
dc.identifier.doi10.1016/j.autcon.2020.103520en_US
dcterms.abstractThis study presented a system boundary-based review to systematically investigate the existing research on crane selection in building construction. The system boundary model comprised 9 boundary elements, namely year, location, research source, project height, project typology, crane type, selection constraint, selection criteria, and selection method. Three detailed analyses were carried out with reference to the boundary elements. Firstly, distribution analysis reflected an increasing research trend in crane selection worldwide. Secondly, regression analysis, considering 25 real cases, indicated that tower crane is better suited for high-rise building construction. Thirdly, systematic analysis identified a total of 19 constraints, 71 criteria, and 8 methods adopted for crane selection. Subsequently, the relationships between crane selection constraints and criteria were revealed. Furthermore, this study disclosed the selection differences between tower and mobile cranes, and the best practices in crane type and model selection. The main future research opportunities include i) using advanced AI technologies for crane type selection; ii) developing simulation models for tower crane model selection; iii) establishing a hybrid method for crane selection; and iv) extending the selection considerations to a larger spatio-temporal and functional scope.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAutomation in construction, Mar. 2021, v. 123, 103520en_US
dcterms.isPartOfAutomation in constructionen_US
dcterms.issued2021-03-
dc.identifier.scopus2-s2.0-85097892893-
dc.identifier.eissn1872-7891en_US
dc.identifier.artn103520en_US
dc.description.validate202303 bcwwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBRE-0113-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextChinese National Engineering Research Centre for Steel Construction (CNERC)en_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS54514223-
dc.description.oaCategoryGreen (AAM)en_US
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