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- Publisher Website: 10.1016/j.resconrec.2021.105480
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Article: Investigating the bulk density of construction waste: A big data-driven approach
Title | Investigating the bulk density of construction waste: A big data-driven approach |
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Authors | |
Keywords | Construction waste management Inert waste Non-inert waste Bulk density Big data |
Issue Date | 2021 |
Publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/resconrec |
Citation | Resources, Conservation and Recycling, 2021, v. 169, p. article no. 105480 How to Cite? |
Abstract | Construction waste contains inert (e.g., construction debris, rubble, earth, bitumen, and concrete) and non-inert materials (e.g., bamboo, plastics, wood, paper, and vegetation), while it is often a combination of the two when it is generated at source. The bulk density of construction waste is the yardstick information for many subsequent waste management efforts. One feasible way to derive the bulk density information is to segregate the mixture of inert and non-inert substances and examine their compositions, but clearly, this is an onerous task. This paper reports a data-driven approach to obtain the bulk densities of inert and non-inert construction waste by analyzing a big dataset of 4.9 million loads of construction waste in Hong Kong in the years 2017 to 2019. It is discovered that the means of bulk density are 336 kg/m3 for non-inert waste, 528 kg/m3 for mixed waste, and 991 kg/m3 for inert waste, and their coefficients of variation are 69%, 43%, and 29%, respectively. The research not only proved our heuristic rules concerning the bulk densities of the three generic types of construction waste, but also articulated, for the first time, their converged means and ranges. The findings can be used in adjusting the admission criteria as adopted in the governmental waste management facilities. Future research is recommended to further narrow down the bulk density ranges to provide more accurate references for construction waste management. |
Persistent Identifier | http://hdl.handle.net/10722/296374 |
ISSN | 2021 Impact Factor: 13.716 2020 SCImago Journal Rankings: 2.468 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lu, WW | - |
dc.contributor.author | YUAN, L | - |
dc.contributor.author | Xue, F | - |
dc.date.accessioned | 2021-02-22T04:54:23Z | - |
dc.date.available | 2021-02-22T04:54:23Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Resources, Conservation and Recycling, 2021, v. 169, p. article no. 105480 | - |
dc.identifier.issn | 0921-3449 | - |
dc.identifier.uri | http://hdl.handle.net/10722/296374 | - |
dc.description.abstract | Construction waste contains inert (e.g., construction debris, rubble, earth, bitumen, and concrete) and non-inert materials (e.g., bamboo, plastics, wood, paper, and vegetation), while it is often a combination of the two when it is generated at source. The bulk density of construction waste is the yardstick information for many subsequent waste management efforts. One feasible way to derive the bulk density information is to segregate the mixture of inert and non-inert substances and examine their compositions, but clearly, this is an onerous task. This paper reports a data-driven approach to obtain the bulk densities of inert and non-inert construction waste by analyzing a big dataset of 4.9 million loads of construction waste in Hong Kong in the years 2017 to 2019. It is discovered that the means of bulk density are 336 kg/m3 for non-inert waste, 528 kg/m3 for mixed waste, and 991 kg/m3 for inert waste, and their coefficients of variation are 69%, 43%, and 29%, respectively. The research not only proved our heuristic rules concerning the bulk densities of the three generic types of construction waste, but also articulated, for the first time, their converged means and ranges. The findings can be used in adjusting the admission criteria as adopted in the governmental waste management facilities. Future research is recommended to further narrow down the bulk density ranges to provide more accurate references for construction waste management. | - |
dc.language | eng | - |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/resconrec | - |
dc.relation.ispartof | Resources, Conservation and Recycling | - |
dc.subject | Construction waste management | - |
dc.subject | Inert waste | - |
dc.subject | Non-inert waste | - |
dc.subject | Bulk density | - |
dc.subject | Big data | - |
dc.title | Investigating the bulk density of construction waste: A big data-driven approach | - |
dc.type | Article | - |
dc.identifier.email | Lu, WW: wilsonlu@hku.hk | - |
dc.identifier.email | Xue, F: xuef@hku.hk | - |
dc.identifier.authority | Lu, WW=rp01362 | - |
dc.identifier.authority | Xue, F=rp02189 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.resconrec.2021.105480 | - |
dc.identifier.scopus | eid_2-s2.0-85100619688 | - |
dc.identifier.hkuros | 321384 | - |
dc.identifier.volume | 169 | - |
dc.identifier.spage | article no. 105480 | - |
dc.identifier.epage | article no. 105480 | - |
dc.identifier.isi | WOS:000657320800019 | - |
dc.publisher.place | Netherlands | - |