Estimation of construction waste generation based on an improved on-site measurement and SVM-based prediction model: A case of commercial buildings in China

This study examines construction waste generation and management in Taiwan. We verify the factors probable affecting the output of construction wastes by using data for the output of declared construction wastes produced from demolition projects in Taiwan in the last year, expert interviews, and research achievements in the past, and find “ on-site separation” is the factor with effects on the output of construction wastes via cross-correlation by algorithms such as K-Means and Decision Tree C5.0. It can be seen that the output (0.092(t/M3) with on-site separation or 0.329(t/M3) without on-site separation is highly correlated with the composition ratio of construction wastes and referred to as a valid conclusion.

Download Full-text

Handling missing data for construction waste management: machine learning based on aggregated waste generation behaviors

Resources Conservation and Recycling ◽

10.1016/j.resconrec.2021.105809 ◽

2021 ◽

Vol 175 ◽

pp. 105809

Author(s):

Zhongze Yang ◽

Fan Xue ◽

Weisheng Lu

Keyword(s):

Machine Learning ◽

Missing Data ◽

Waste Management ◽

Waste Generation ◽

Construction Waste

Download Full-text

ASSESSMENT OF WOODEN BUILDINGS IN TERMS OF CONSTRUCTION WASTE GENERATION

GEOLINKS Conference proceedings, Book 2 Volume 2 ◽

10.32008/geolinks2020/b2/v2/23 ◽

2020 ◽

Author(s):

Marcela Spišáková ◽

Mária Kozlovská ◽

Jozef Švajlenka

Keyword(s):

Negative Impact ◽

Raw Materials ◽

Environmental Parameters ◽

Constructional Material ◽

Waste Generation ◽

Construction Waste ◽

Construction Market ◽

Negative Impacts ◽

The Individual ◽

Wooden Structures

Construction industry creates an environment for people's lives. On the other hand, construction activities have a negative impact on various aspects of the environment. It consumes natural raw materials, significantly contributes to carbon footprint, waste, etc. Appropriate choice of constructional, material, technical, technological and environmental parameters of buildings can partially reduce this negative impacts. By designing, implementing and using wood-based constructions it is possible to reduce the negative impact in the area of construction waste generation. Currently, the construction market offers a large number of construction systems of wooden buildings, which have both strengths and weaknesses. In this paper are identified construction systems of wooden buildings offered on the Slovak construction market. The aim of the paper is a detailed identification of construction waste generation during the realization of particular wooden structures and monitoring of waste generation in production factory (off site) and on construction site (on site) during the construction of wooden buildings. Based on the obtained information, the individual construction systems of wood-based constructions are compared in terms of construction waste generation

Download Full-text

Determining Root Cause of Construction Waste Generation: A Global Context

Civil Engineering Journal ◽

10.28991/cej-03091179 ◽

2018 ◽

Vol 4 (11) ◽

pp. 2539 ◽

Cited By ~ 3

Author(s):

Suaathi Kaliannan ◽

Sasitharan Nagapan ◽

Abd Halid Abdullah ◽

Samiullah Sohu ◽

Ashfaque Ahmed Jhatial

Keyword(s):

Cross Validation ◽

Construction Sector ◽

Waste Generation ◽

Main Root ◽

Huge Amount ◽

Construction Waste ◽

Global Context ◽

Root Cause ◽

Gdp Growth Rate ◽

Design Changes

Construction sector is one of the main sectors in contributing Gross Domestic Product (GDP) growth rate in every developing country. The rapid growth of this sector directly produces a huge amount of construction waste. Hence, to find out the main root causes of the generation, this paper aimed to determine root causes of the construction waste generation in the construction sector. The research is carried out through triangulation technique (questionnaire survey and practitioner’s validation). This technique is adopted to facilitate cross validation by analysing 38 articles and then the final results have been validated by construction practitioners. A total of 80 root causes were identified from 38 articles and the 5 main root causes determined have scored more than 50% out of the total number of articles. Finally, the result was validated and found out that 87.5% of construction practitioners agree with the findings. The agreed root causes are ‘Constant design changes’, ‘Incorrect storage of materials’, ‘Poor handling of materials’, ‘Effect of weather’ and ‘Mistakes while ordering from suppliers’. Therefore, these initial findings will be able to aid the construction practitioner (contractors, consultants and developers) to be aware of the root causes that is mostly causing construction waste generation.

Download Full-text

Quantification Methods for Construction Waste Generation at Construction Sites: A Review

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.163-167.4564 ◽

2010 ◽

Vol 163-167 ◽

pp. 4564-4569 ◽

Cited By ~ 2

Author(s):

Ahmad Firman Masudi ◽

Che Rosmani Che Hassan ◽

Noor Zalina Mahmood ◽

Siti Nazziera Mokhtar ◽

Nik Meriam Sulaiman

Keyword(s):

Construction Projects ◽

Software Tool ◽

Waste Reduction ◽

Building Construction ◽

Civil Infrastructure ◽

Waste Generation ◽

Construction Sites ◽

Construction Waste ◽

Future Direction ◽

User Friendly

Estimation of construction and demolition (C&D) waste amount is crucial for implementing waste minimization program. Estimation of C&D waste amount generated is a mean in assessing the potential for waste reduction. Thus, a better understanding of C&D waste generation in terms of causes and sources can be achieved. The aim of this paper is to conduct a review on available construction waste quantification methods from previous studies, which have been utilized in certain countries, while attempting to choose the most suitable and applicable method, and to direct future studies for better quantification methods. This review is applicable only for building construction projects and did not include civil/infrastructure, demolition, renovation, and excavation projects. Six quantification methods and/or waste audit tool available from literatures are discussed, which include their limitation and future direction for this study. It is believed that some combination of these quantification methods could make a good impact in accurate numerical estimation of construction waste amount generated in building construction projects. A strong and accurate database as presented by Soliz-Guzman, combined with effective, vital, and resourceful estimation suggested by Jalali’s Global Index (GI), also with the aid of user-friendly software tool like the SMARTAudit could provide an effective and reliable waste quantification.

Download Full-text