Parisi Kern Andrea, Ferreira Dias Michele, Piva Kulakowski Marlova, Paulo Gomes Luciana
Universidade do Vale do Rio dos Sinos, Civil Engineering Post-Graduation Program, Av Unisinos, 950 Bairro Cristo Rei, São Leopoldo 93 022-000, Rio Grande do Sul, Brazil.
Waste Manag. 2015 May;39:35-44. doi: 10.1016/j.wasman.2015.01.043. Epub 2015 Feb 20.
Reducing construction waste is becoming a key environmental issue in the construction industry. The quantification of waste generation rates in the construction sector is an invaluable management tool in supporting mitigation actions. However, the quantification of waste can be a difficult process because of the specific characteristics and the wide range of materials used in different construction projects. Large variations are observed in the methods used to predict the amount of waste generated because of the range of variables involved in construction processes and the different contexts in which these methods are employed. This paper proposes a statistical model to determine the amount of waste generated in the construction of high-rise buildings by assessing the influence of design process and production system, often mentioned as the major culprits behind the generation of waste in construction. Multiple regression was used to conduct a case study based on multiple sources of data of eighteen residential buildings. The resulting statistical model produced dependent (i.e. amount of waste generated) and independent variables associated with the design and the production system used. The best regression model obtained from the sample data resulted in an adjusted R(2) value of 0.694, which means that it predicts approximately 69% of the factors involved in the generation of waste in similar constructions. Most independent variables showed a low determination coefficient when assessed in isolation, which emphasizes the importance of assessing their joint influence on the response (dependent) variable.
减少建筑垃圾正成为建筑业关键的环境问题。量化建筑行业的废物产生率是支持缓解行动的一项极有价值的管理工具。然而，由于不同建筑项目所使用材料的特殊性质和种类繁多，废物量化可能是一个困难的过程。由于建筑过程中涉及的变量范围以及使用这些方法的不同背景，在预测产生的废物量所使用的方法中观察到很大差异。本文提出一个统计模型，通过评估设计过程和生产系统（通常被认为是建筑废物产生的主要元凶）的影响，来确定高层建筑施工中产生的废物量。基于18栋住宅建筑的多源数据，使用多元回归进行了案例研究。所得的统计模型产生了与所使用的设计和生产系统相关的因变量（即产生的废物量）和自变量。从样本数据中获得的最佳回归模型的调整R²值为0.694，这意味着它能预测类似建筑中约69%的废物产生相关因素。大多数自变量单独评估时显示出较低的决定系数，这强调了评估它们对响应（因）变量的联合影响的重要性。
