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Conference Paper: A framework of developing a big data platform for construction waste management: a Hong Kong study

TitleA framework of developing a big data platform for construction waste management: a Hong Kong study
Authors
KeywordsConstruction waste management
Big data
Platform
Hong Kong
Issue Date2017
PublisherSpringer.
Citation
CRIOCM2015 International Symposium on Advancement of Construction Management and Real Estate, Hangzhou, China, 23-25 October 2015. In Wu, Y ... (et al) (eds.), Proceedings of the 20th International Symposium on Advancement of Construction Management and Real Estate, p. 1069-1076. Singapore: Springer, 2017 How to Cite?
AbstractBig data has shown great potentials in improving management discretion in many areas. The applications of big data in areas such as finance, computer science, health care and medical science have made continued success. Despite of big data’s potentials, its applications in construction waste management (CWM) are still in infant stage. In order to embrace these prospects, this research proposes a platform to apply big data technologies in CWM, by focusing on the CWM status of Hong Kong. This study first presents a framework of the big data platform by describing the data collection, storage and analysis involved in the roadmap of CWM in Hong Kong. The existing unintentionally generated big dataset in CWM in Hong Kong is used to examine the availability of the proposed platform. It was found that this platform could make government, industry and other CWM stakeholders benefit from proper cooperation. Though this study focused on the CWM of Hong Kong, it may act as a driving force to stimulate the adoption of big data in CWM across countries where construction waste is growing as an urgent issue that concerns government, industry, academia, and all the stakeholders.
Persistent Identifierhttp://hdl.handle.net/10722/223959
ISBN

 

DC FieldValueLanguage
dc.contributor.authorChen, X-
dc.contributor.authorLu, W-
dc.contributor.authorLiao, S-
dc.date.accessioned2016-03-18T02:32:43Z-
dc.date.available2016-03-18T02:32:43Z-
dc.date.issued2017-
dc.identifier.citationCRIOCM2015 International Symposium on Advancement of Construction Management and Real Estate, Hangzhou, China, 23-25 October 2015. In Wu, Y ... (et al) (eds.), Proceedings of the 20th International Symposium on Advancement of Construction Management and Real Estate, p. 1069-1076. Singapore: Springer, 2017-
dc.identifier.isbn978-981-10-0854-2-
dc.identifier.urihttp://hdl.handle.net/10722/223959-
dc.description.abstractBig data has shown great potentials in improving management discretion in many areas. The applications of big data in areas such as finance, computer science, health care and medical science have made continued success. Despite of big data’s potentials, its applications in construction waste management (CWM) are still in infant stage. In order to embrace these prospects, this research proposes a platform to apply big data technologies in CWM, by focusing on the CWM status of Hong Kong. This study first presents a framework of the big data platform by describing the data collection, storage and analysis involved in the roadmap of CWM in Hong Kong. The existing unintentionally generated big dataset in CWM in Hong Kong is used to examine the availability of the proposed platform. It was found that this platform could make government, industry and other CWM stakeholders benefit from proper cooperation. Though this study focused on the CWM of Hong Kong, it may act as a driving force to stimulate the adoption of big data in CWM across countries where construction waste is growing as an urgent issue that concerns government, industry, academia, and all the stakeholders.-
dc.languageeng-
dc.publisherSpringer.-
dc.relation.ispartofProceedings of the 20th International Symposium on Advancement of Construction Management and Real Estate-
dc.rightsThe final publication is available at Springer via http://dx.doi.org/10.1007/978-981-10-0855-9-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectConstruction waste management-
dc.subjectBig data-
dc.subjectPlatform-
dc.subjectHong Kong-
dc.titleA framework of developing a big data platform for construction waste management: a Hong Kong study-
dc.typeConference_Paper-
dc.identifier.emailLu, W: wilsonlu@hku.hk-
dc.identifier.authorityLu, W=rp01362-
dc.description.naturepostprint-
dc.identifier.doi10.1007/978-981-10-0855-9_94-
dc.identifier.hkuros257351-
dc.identifier.spage1069-
dc.identifier.epage1076-
dc.publisher.placeSingapore-

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