دانلود مقاله ISI انگلیسی شماره 46570
عنوان فارسی مقاله

زباله تولید شده در ساخت و ساز ساختمان های بلند: یک مدل کمی بر مبنای رگرسیون چندگانه آماری

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
46570 2015 10 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Waste generated in high-rise buildings construction: A quantification model based on statistical multiple regression
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Waste Management, Volume 39, May 2015, Pages 35–44

کلمات کلیدی
زباله ساخت و ساز - تعیین کمیت زباله ساخت و ساز - کاهش زباله ساخت و ساز
پیش نمایش مقاله
پیش نمایش مقاله زباله تولید شده در ساخت و ساز ساختمان های بلند: یک مدل کمی بر مبنای رگرسیون چندگانه آماری

چکیده انگلیسی

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 R2 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.

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