Modelling waste generated during construction of buildings using regression analysis.
Clicks: 403
ID: 72602
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
80.2
/100
403 views
281 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #8 of 37 articles by views in Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The building industry is responsible for a large amount of waste, and the measurement and modelling of this waste could be used to develop better waste management plans. Several theoretical models explain the relationships between waste and building characteristics, but local practices may result in different behaviours. This study aimed to measure and analyse the waste generated through construction. It was based on the analysis of 18 building sites located in the region of Porto Alegre, Brazil. Waste was measured at these sites, and the results showed an average waste generation rate of 0.151 m m. A regression analysis of the collected data presented a satisfactory performance in two models. The first model was developed to explain total waste generation, including the effects of certain attributes, with an R = 0.81. The changes in waste generated during construction were estimated. The second model considered time schedules and examined the effect of the construction stage on waste generation, and reached an R = 0.91. The model with time indicated an S-shaped relationship. The models presented satisfactory statistical parameters and could be used to produce better waste management plans in the preconstruction stage.
| Reference Key |
teixeira2019modellingwaste
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Teixeira, Eduardo de Carvalho;González, Marco Aurélio Stumpf;Heineck, Luiz Fernando Mälmann;Kern, Andrea Parisi;Bueno, Guilherme Manfredini; |
| Journal | Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA |
| Year | 2019 |
| DOI |
10.1177/0734242X19893012
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.