Modelling waste generated during construction of buildings using regression analysis

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 m3 m-2. 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 R2 = 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 R2 = 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.

Efficient supervision strategy for illegal dumping of construction and demolition waste: A networked game theory decision-making model

“…Currently, the universal spread of information technology helps to quantify the amount of CDW (Coskuner et al, 2021; da Paz et al, 2018; Kim et al, 2017; Teixeira et al, 2020). Building information modelling, for example, can provide information about a building from the design to the demolition stage, contributing to the prediction of project-level CDW (Won and Cheng, 2017).…”

Computational system for the integrated management of construction and demolition waste

“…In this step, we sought to insert the equations and features of each tool in the modules to achieve the intended objectives. The equations entered in the system were according to the literature survey and data collection (TESSARO; SÁ; SCREMIN, 2012;SCREMIN;CASTILHOS JUNIOR;ROCHA, 2014;KERN et al, 2015;PAZ;LAFAYETTE, 2016;GULARTE et al, 2017;FONSECA;RIBEIRO JUNIOR, 2018;PAZ;LAFAYETTE;SOBRAL, 2018;LAFAYETTE et al, 2018;KERN et al, 2018;TEIXEIRA et al, 2020).…”

Modelling of demolition waste generation: Application to Greek residential buildings

“…It can also be used to assess environmental impact under field conditions and emergency situations, such as after earthquakes and war. Wu et al (2014) classified the methods that had been used for CDW quantification into six main categories: (1) site visit (Hoang et al, 2020; Lafayette et al, 2018; Poon et al, 2004), (2) generation rate calculation (Banias et al, 2011; Cha et al, 2017; Fatta et al, 2003; Lu et al, 2015; Ram and Kalidindi, 2017), (3) lifetime analysis (Huang et al, 2013; Kalcher et al, 2017; Marinova et al, 2020; Wu et al, 2016), (4) classification system accumulation (Coelho and de Brito, 2011; Kim et al, 2017; Llatas, 2011; Solís-Guzmán et al, 2009), (5) variables modelling (VM) (Kern et al, 2015, 2018; Lu et al, 2021; Teixeira et al, 2020) and (6) others (Shi and Xu, 2006), but many researchers have used a combination of two or more of the above. Another approach for the estimation of CDW is building information modelling which provides building designs and data from a project in digital form, yielding geometric and semantic information for waste quantification (Cheng and Ma, 2013; Guerra et al, 2019; Hu et al, 2022; Su et al, 2021).…”