Waste Generation Predictions and On-Site Waste Management: A Danish Perspective

Author:

Lindhard Søren Munch1ORCID,Wyke Simon1ORCID,Mahami Hadi2,Vaezzadeh Seyyed Saeed3,Svidt Kjeld1

Affiliation:

1. Department of the Built Environment, Aalborg University, 9220 Aalborg, Denmark

2. Department of Architecture & Built Environment, Deakin University, Geelong, VIC 3220, Australia

3. School of Archtecture, College of Fine Arts, University of Tehran, Tehran 14395-515, Iran

Abstract

Multiple methodologies exist for the calculation, estimation, and simulation of waste generation in the construction industry as means for planning and conducting waste management. The reliability and usability of such methods has, nonetheless, not previously been evaluated. This study, therefore, investigated the existing methodologies for waste prediction through a literature review and an analysis of the identified methods using two construction cases from Denmark. Semi-structured interviews were, additionally, utilised to explain how and why waste behaviour is the way it is in the Danish construction industry. The results showed that waste management is affected by multiple factors, which are not reflected in the current methodologies for waste estimation, and that waste behaviour as well as organisational factors are key contributors. In addition, the study concluded that existing estimation methodologies for waste generation tend to be either high in complexity or low in accuracy, limiting the benefits achievable from using them, and that projects of the same type within close proximity can be significantly different from another, highlighting a clear limitation for the development of waste estimation methodologies.

Funder

The Landowners' Investment Foundation

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3