Generation and management of construction and demolition waste in Greece—an existing challenge

Fatta, D.; Papadopoulos, A.; Avramikos, E.; Sgourou, E.; Μουστάκας, Κωνσταντίνος; Kourmoussis, Fotis; Mentzis, A.; Loizidou, Maria

doi:10.1016/s0921-3449(03)00035-1

Cited by 181 publications

(115 citation statements)

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“…In order to quantify the amount of CDW in UB, the methods proposed by Fatta (Estimation methods for the generation of construction and demolition waste in Greece, Fatta et al, 2003) and Llatas (Methods for estimating construction and demolition (C&D) waste, C. Llatas, 2013) were applied. In this study, the proposed MFA calculates the total amount of each material-P in tonne/year by the following expression: P = QP R SP…”

Section: Methods To Quantify the Amount Of Cdwmentioning

confidence: 99%

“…Furthermore, it is necessary to quantify total demolition waste for the different types of structure-j, QP T in ton/year. By using the formula proposed by Fatta (Estimation methods for the generation of construction and demolition waste in Greece, Fatta et al, 2003), the applied models for DW is as following: QP = UQ * UW * XQ * PQ * Q (2) -DW = demolition waste in tonne -ND = number of demolitions -NF = mean value of no. of floors -SD = surface of each building being demolished -WD = generation rate of each demolition -D = density of waste Different percentages, T , of each material in each building category were adapted from Llatas (Methods for estimating construction and demolition (C&D) waste, C. Llatas, 2013) as shown in Table 2.…”

Section: Methods To Quantify the Amount Of Cdwmentioning

confidence: 99%

“…The first method to quantify the amount of CDW was proposed in the Netherlands by Bossink and Brouwers (1996) who quantified the waste generation during several residential construction projects. Researchers in countries such as Greece (Fatta et al, 2003), Portugal (Coelho and de Brito, 2011), Hong Kong (Poon et al, 2001, 2004 proposed different methods to estimate CDW. In EU, Llatas (2011) and Màlia et al (2013) carried out studies to propose indicators to estimate the amount of CDW.…”

Section: Introductionmentioning

confidence: 99%

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Characterizing the generation and flows of construction and demolition waste in China

Zheng

Zhang

et al. 2017

Construction and Building Materials

351

111

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Section: Methods To Quantify the Amount Of Cdwmentioning

confidence: 99%

Section: Methods To Quantify the Amount Of Cdwmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Characterizing the generation and flows of construction and demolition waste in China

Zheng

Zhang

et al. 2017

Construction and Building Materials

351

111

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“…This large volume is due to the fact that construction waste can be generated during any building project, including apartments, detached houses, villas, studios, and infrastructure, even during the clearance of remaining materials, demolished or defective materials, and waste from construction sites [2,3]. Another reason for such a high volume of waste is that contractors might exceed their equipment and labor capability for cleaning up waste and materials, which negatively affects project performance in terms of cost overruns [4].…”

Section: Introductionmentioning

confidence: 99%

Development of Hybrid Model for Estimating Construction Waste for Multifamily Residential Buildings Using Artificial Neural Networks and Ant Colony Optimization

Lee

Kim

2016

Sustainability

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Due to the increasing costs of construction waste disposal, an accurate estimation of the amount of construction waste is a key factor in a project's success. Korea has been burdened by increasing construction waste as a consequence of the growing number of construction projects and a lack of construction waste management (CWM) strategies. One of the problems associated with predicting the amount of waste is that there are no suitable estimation strategies currently available. Therefore, we developed a hybrid estimation model to predict the quantity and cost of waste in the early stage of construction. The proposed approach can be used to address cost overruns and improve CWM in the subsequent stages of construction. The proposed hybrid model uses artificial neural networks (ANNs) and ant colony optimization (ACO). It is expected to provide an accurate waste estimate by applying historical data from multifamily residential buildings.

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“…The quantification of construction waste also can be estimated by quantifying the building area and building demolition works and converting the construction and demolition waste quantitative data from cubic metres to tonnes [19]. Another method of estimation is through the use of a construction waste index [20].…”

Section: Quantification Of Waste In Conventional Construction Siti Akmentioning

confidence: 99%

Siti Akhtar Mahayuddin and Wan Akmal Zahri Wan Zaharuddin

Mahayuddin¹,

Zaharuddin²

2013

IJESD

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Abstract-Construction waste is generated throughout the construction process such as during site clearance, material use, material damage, material non-use, excess procurement and human error. The exact quantity and composition of construction waste generated throughout the projects are difficult to be identified as they are keep on changing due to the dynamic nature of the construction activities. Different stages of construction generates different types and composition of waste. Therefore the trend of waste generated throughout the construction stages need to be identified. This paper will critically review literature on construction waste in order to understand the nature of waste generation from construction activities. Based on the literature studied, this paper propose a method to quantify waste for conventional construction. The proposed method comprises four steps. First is identification of construction stages and expected waste generated. Second is selection of construction sites with similar characteristics for uniform investigation. Third is sorting and weighing of mixed waste collected in a dumpster. The last step is summation of the recorded quantity. It is expected that the proposed method should be practical and suits current situation of Malaysian construction projects and support the agenda of National Strategic Plan for Solid Waste Management.

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Generation and management of construction and demolition waste in Greece—an existing challenge

Cited by 181 publications

References 0 publications

Characterizing the generation and flows of construction and demolition waste in China

Characterizing the generation and flows of construction and demolition waste in China

Development of Hybrid Model for Estimating Construction Waste for Multifamily Residential Buildings Using Artificial Neural Networks and Ant Colony Optimization

Siti Akhtar Mahayuddin and Wan Akmal Zahri Wan Zaharuddin

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