Literature DB >> 26838607

Demolition waste generation for development of a regional management chain model.

Miguel Bernardo1, Marta Castilho Gomes2, Jorge de Brito1.   

Abstract

Even though construction and demolition waste (CDW) is the bulkiest waste stream, its estimation and composition in specific regions still faces major difficulties. Therefore new methods are required especially when it comes to make predictions limited to small areas, such as counties. This paper proposes one such method, which makes use of data collected from real demolition works and statistical information on the geographical area under study. Based on a correlation analysis between the demolition waste estimates and indicators such as population density, buildings ageing index, buildings density and land occupation type, relationships are established that can be used to determine demolition waste outputs in a given area. The derived models are presented and explained. This methodology is independent from the specific region with which it is exemplified (the Lisbon Metropolitan Area) and can therefore be applied to any region of the world, from the country to the county level. Generation of demolition waste data at the county level is the basis of the design of a systemic model for CDW management in a region. Future developments proposed include a mixed-integer linear programming formulation of such recycling network.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  Construction and demolition waste (CDW); Demolition works; Generation models; Small-scale CDW estimation tools; Waste management chain model

Mesh:

Substances:

Year:  2016        PMID: 26838607     DOI: 10.1016/j.wasman.2015.12.027

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  4 in total

1.  Development of a Prediction Model for Demolition Waste Generation Using a Random Forest Algorithm Based on Small DataSets.

Authors:  Gi-Wook Cha; Hyeun Jun Moon; Young-Min Kim; Won-Hwa Hong; Jung-Ha Hwang; Won-Jun Park; Young-Chan Kim
Journal:  Int J Environ Res Public Health       Date:  2020-09-24       Impact factor: 3.390

2.  Characterizing and Predicting the Resilient Modulus of Recycled Aggregates from Building Demolition Waste with Breakage-Induced Gradation Variation.

Authors:  Yuanjie Xiao; Kunfeng Kong; Umar Faruk Aminu; Zhiyong Li; Qiang Li; Hongwei Zhu; Degou Cai
Journal:  Materials (Basel)       Date:  2022-04-05       Impact factor: 3.623

3.  The Effects of Data Collection Method and Monitoring of Workers' Behavior on the Generation of Demolition Waste.

Authors:  Gi-Wook Cha; Young-Chan Kim; Hyeun Jun Moon; Won-Hwa Hong
Journal:  Int J Environ Res Public Health       Date:  2017-10-12       Impact factor: 3.390

4.  Analysis of Waste Generation Characteristics during New Apartment Construction-Considering the Construction Phase.

Authors:  Young-Chan Kim; Yuan-Long Zhang; Won-Jun Park; Gi-Wook Cha; Jung-Wan Kim; Won-Hwa Hong
Journal:  Int J Environ Res Public Health       Date:  2019-09-19       Impact factor: 3.390

  4 in total

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