The DOI matches its Crossref record.
An empirical investigation of construction and demolition waste generation rates in Shenzhen city, South China
Open accessAbstract
The construction and demolition waste generation rates (C&D WGRs) is an important factor in decision-making and management of material waste in any construction site. The present study investigated WGRs by conducting on-site waste sorting and weighing in four ongoing construction projects in Shenzhen city of South China. The results revealed that WGRs ranged from 3.275 to 8.791 kg/m(2) and miscellaneous waste, timber for formwork and falsework, and concrete were the three largest components amongst the generated waste. Based on the WGRs derived from the research, the paper also discussed the main causes of waste in the construction industry and attempted to connect waste generation with specific construction practices. It was recommended that measures mainly including performing waste sorting at source, employing skilful workers, uploading and storing materials properly, promoting waste management capacity, replacing current timber formwork with metal formwork and launching an incentive reward program to encourage waste reduction could be potential solutions to reducing current WGRs in Shenzhen. Although these results were derived from a relatively small sample and so cannot justifiably be generalized, they do however add to the body of knowledge that is currently available for understanding the status of the art of C&D waste management in China.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Big Data in the construction industry: A review of present status, opportunities, and future trends
Bilal, M., Oyedele, L. O., Qadir, J., Munir, K., Ajayi, S. O., Akinade, O. O., Owolabi, H. A., Alaka, H. A., & Pasha, M. (2016) · Advanced Engineering Informatics · doi:10.1016/j.aei.2016.07.001 · Cited by 734
Substantial global carbon uptake by cement carbonation
Xi, F., Davis, S. J., Ciais, P., Crawford-Brown, D., Guan, D., Pade, C., Shi, T., Syddall, M., Lv, J., Ji, L., et al. (2016) · Nature Geoscience · doi:10.1038/ngeo2840 · Cited by 689
An empirical study of construction and demolition waste generation and implication of recycling
Islam, R., Nazifa, T. H., Yuniarto, A., Shanawaz Uddin, A. S. M., Salmiati, S., & Shahid, S. (2019) · Waste Management · doi:10.1016/j.wasman.2019.05.049 · Cited by 404
A framework for understanding waste management studies in construction
Lu, W., & Yuan, H. (2011) · Waste Management · doi:10.1016/j.wasman.2011.01.018 · Cited by 353
Self-citationChallenges in current construction and demolition waste recycling: A China study
Ma, M., Tam, V. W. Y., Le, K. N., & Li, W. (2020) · Waste Management · doi:10.1016/j.wasman.2020.09.030 · Cited by 259
Metadata
- Authors
- Lu, W., Yuan, H., Li, J., Hao, J. J. L., Mi, X., & Ding, Z.
- Venue
- Waste Management
- Publisher
- Elsevier BV
- Published
- 2011-04
- Volume
- 31
- Issue
- 4
- Pages
- 680-687
- ISSN
- 0956-053X (ISSN-L)
- OpenAlex
- W2138258757
- Cited by
- 266
- References
- 0
- FWCI
- 29.77
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An empirical investigation of construction and demolition waste generation rates in Shenzhen city, South China. https://app.cochat.ai/papers/10.1016/j.wasman.2010.12.004
- The paper
- Lu, W., Yuan, H., Li, J., Hao, J. J. L., Mi, X., & Ding, Z. (2011). An empirical investigation of construction and demolition waste generation rates in Shenzhen city, South China. Waste Management. https://doi.org/10.1016/j.wasman.2010.12.004
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
