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Article: Identifying factors influencing demolition waste generation in Hong Kong

TitleIdentifying factors influencing demolition waste generation in Hong Kong
Authors
KeywordsConstruction and demolition (C&D) waste management
Demolition waste
Demolition waste generation (DWG)
Big data
Hong Kong
Issue Date2017
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jclepro
Citation
Journal of Cleaner Production, 2017, v. 141, p. 799-811 How to Cite?
AbstractAmong all construction activities, demolition normally generates the largest proportion of construction and demolition (C&D) waste, to which requires more importance being attached for effective manage- ment. Previous studies have attempted to understand demolition waste generation (DWG) but the un- derstanding remains relatively insufficient, largely due to the erratic and poor quality data available. This research aims to identify factors impacting DWG by making use of a big dataset which has recently become available as a result of C&D waste management practices in Hong Kong. Using big data analytics, it is confirmed that DWG, demolition cost, and duration of conducting the demolition work are dependent on each other. It is also found that geographical location, building usage, and the public- private nature of a building project also have a significant impact on DWG in the Hong Kong context. Based on the correlations between DWG and these identified factors, stakeholders may introduce proper managerial or policy interventions to effectively minimize DWG. For example, public policy-makers may formulate more tailor-made regulations to attach more importance to the locations, usages and public- private nature, which have more potentials for demolition waste minimization.
Persistent Identifierhttp://hdl.handle.net/10722/234788
ISSN
2015 Impact Factor: 4.959
2015 SCImago Journal Rankings: 1.721
Grants

 

DC FieldValueLanguage
dc.contributor.authorChen, X-
dc.contributor.authorLu, W-
dc.date.accessioned2016-10-14T13:49:16Z-
dc.date.available2016-10-14T13:49:16Z-
dc.date.issued2017-
dc.identifier.citationJournal of Cleaner Production, 2017, v. 141, p. 799-811-
dc.identifier.issn0959-6526-
dc.identifier.urihttp://hdl.handle.net/10722/234788-
dc.description.abstractAmong all construction activities, demolition normally generates the largest proportion of construction and demolition (C&D) waste, to which requires more importance being attached for effective manage- ment. Previous studies have attempted to understand demolition waste generation (DWG) but the un- derstanding remains relatively insufficient, largely due to the erratic and poor quality data available. This research aims to identify factors impacting DWG by making use of a big dataset which has recently become available as a result of C&D waste management practices in Hong Kong. Using big data analytics, it is confirmed that DWG, demolition cost, and duration of conducting the demolition work are dependent on each other. It is also found that geographical location, building usage, and the public- private nature of a building project also have a significant impact on DWG in the Hong Kong context. Based on the correlations between DWG and these identified factors, stakeholders may introduce proper managerial or policy interventions to effectively minimize DWG. For example, public policy-makers may formulate more tailor-made regulations to attach more importance to the locations, usages and public- private nature, which have more potentials for demolition waste minimization.-
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.rights© 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectConstruction and demolition (C&D) waste management-
dc.subjectDemolition waste-
dc.subjectDemolition waste generation (DWG)-
dc.subjectBig data-
dc.subjectHong Kong-
dc.titleIdentifying factors influencing demolition waste generation in Hong Kong-
dc.typeArticle-
dc.identifier.emailChen, X: chenx90@hku.hk-
dc.identifier.emailLu, W: wilsonlu@hku.hk-
dc.identifier.authorityLu, W=rp01362-
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.jclepro.2016.09.164-
dc.identifier.hkuros269729-
dc.identifier.volume141-
dc.identifier.spage799-
dc.identifier.epage811-
dc.publisher.placeThe Netherlands-
dc.relation.projectApplication of Hong Kong construction waste management experience in mainland China: an empirical exploration-
dc.customcontrol.immutablesml 161110 - embargo from 12 months to 48 months-
dc.customcontrol.immutablesml 161110 - embargo from 12 months to 48 months: pub. 2017 Jan 10-

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