Literature DB >> 35385981

Improving Contractors' Participation of Resource Utilization in Construction and Demolition Waste through Government Incentives and Punishments.

Baoquan Cheng1,2, Jianling Huang1, Jianchang Li3, Shuhang Chen4, Huihua Chen5.   

Abstract

This paper develops a simulation model for analyzing how government incentives and punishments improve contractors' participation in resource utilization of construction and demolition waste (RUCDW) based on system dynamics theory. The construction industry's long-term objective is to become more sustainable and resource-effective, and as part of this objective, generated construction and demolition waste should be recycled and resource utilized. However, most contractors have little willingness to engage in RUCDW because it increases their costs. The government thus plays a vital role in improving their participation in RUCDW through a range of educational tools such as advertisements, professional training, incentives, and punishments. Among these approaches, incentives and punishments are considered the most effective because they directly change project costs. We use the Vensim software package for numerical simulation and data collected from Suzhou, China are used to demonstrate and validate the developed model. Simulation results show that the government can improve contractors' participation in RUCDW through three kinds of incentives and punishments: (1) subsidizing RUCDW; (2) increasing landfill fees; and 3) issuing fines for illegal dumping. Comprehensive application of multiple policies has a stronger effect than single policies. The established model is therefore a valuable tool for assessing the dynamic effects of government incentives and punishments on RUCDW ahead of implementation, which can provide guidance for policymakers.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Construction and demolition waste; Government incentives and punishments; Resource utilization; Sustainable construction; System dynamics

Mesh:

Substances:

Year:  2022        PMID: 35385981     DOI: 10.1007/s00267-022-01617-8

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.644


  4 in total

1.  Life Cycle Assessment of Construction and Demolition Waste from Railway Engineering Projects.

Authors:  Jianling Huang; Yang Yin; Lei Zheng; Sibo Zhang; Qingyun Zhao; Huihua Chen
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2.  Analysis of the Artistic Effect of Garden Plant Landscaping in Urban Greening.

Authors:  Lin Tian
Journal:  Comput Intell Neurosci       Date:  2022-07-15

3.  Sentiment Analysis of Animated Film Reviews Using Intelligent Machine Learning.

Authors:  Cheng Chen; Bin Xu; Jong-Hoon Yang; Mi Liu
Journal:  Comput Intell Neurosci       Date:  2022-07-20

4.  What Is the Mechanism of Government Green Development Behavior Considering Multi-Agent Interaction? A Meta-Analysis.

Authors:  Xingwei Li; Jiachi Dai; Xiaowen Zhu; Jinrong He; Jingru Li; Xiang Liu; Yicheng Huang; Qiong Shen
Journal:  Int J Environ Res Public Health       Date:  2022-07-06       Impact factor: 4.614

  4 in total

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