Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/61168
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Building and Real Estate | en_US |
dc.creator | Li, CZD | en_US |
dc.creator | Hong, JK | en_US |
dc.creator | Xue, F | en_US |
dc.creator | Shen, GQ | en_US |
dc.creator | Xu, XX | en_US |
dc.creator | Mok, MKY | en_US |
dc.date.accessioned | 2016-12-19T08:55:00Z | - |
dc.date.available | 2016-12-19T08:55:00Z | - |
dc.identifier.issn | 0959-6526 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/61168 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2016 Elsevier Ltd. All rights reserved. | en_US |
dc.rights | © 2016 This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.rights | NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Cleaner Production. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. The definitive version Li Z.D., Hong J.K., Xue F., Shen G.Q.P., Xu X.X., Mok M. (2016). Schedule risks in prefabrication housing production in Hong Kong: a social network analysis, Journal of Cleaner Production, 134, 482-494 is available at https://doi.org/10.1016/j.jclepro.2016.02.123 | en_US |
dc.subject | Building information modeling | en_US |
dc.subject | Prefabrication housing production | en_US |
dc.subject | Schedule risk | en_US |
dc.subject | Social network analysis | en_US |
dc.title | Schedule risks in prefabrication housing production in Hong Kong : a social network analysis | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 482 | en_US |
dc.identifier.epage | 494 | en_US |
dc.identifier.volume | 134 | en_US |
dc.identifier.doi | 10.1016/j.jclepro.2016.02.123 | en_US |
dcterms.abstract | Various schedule risks beset prefabrication housing production (PHP) in Hong Kong throughout the prefabrication supply chain, from design, manufacturing, logistics, to on-site assembly. Previous research on the risks in prefabrication construction projects has mainly focused on the construction stage and has been confined to issues of completeness and accuracy without consideration of stakeholder-related risks and their cause-and-effect relationships. However, in reality, the supply chain is inseparable as precast components should be manufactured and transported to sites to fit in with the schedule of on-site assembly in seamless connection manner, and most risks are interrelated and associated with various stakeholders. This study applies social network analysis (SNA) to recognize and investigate the underlying network of stakeholder-associated risk factors in prefabrication housing construction projects. Critical risks and relationships that have important roles in structuring the entire network of PHP are identified and analyzed. BIM (Building Information Modeling)-centered strategies are proposed to facilitate stakeholder communication and mitigate critical schedule risks and interactions underlying the risk network. This study not only provides an effective method to analyze stakeholder-associated risk factors and to evaluate the effect of these risk factors from a network perspective, but also offers a new visual perspective in the promotion of the use of the Internet of things (IoT) and helps identify housing construction problems in Hong Kong. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Journal of cleaner production, 15 Oct. 2016, v. 134, pt. B, p. 482-494 | en_US |
dcterms.isPartOf | Journal of cleaner production | en_US |
dcterms.issued | 2016-10 | - |
dc.identifier.isi | WOS:000382797200006 | - |
dc.identifier.scopus | 2-s2.0-84961784515 | - |
dc.identifier.scopus | 2-s2.0-85024093761 | - |
dc.identifier.ros | 2016002632 | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a0136-n10 | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Li_Zhengdao_2016.pdf | Pre-Published version | 1.83 MB | Adobe PDF | View/Open |
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