Integrated and effective management of muck waste under the platform governance mode for a circular economy

Weiwei Wu, Youying Yin, Jian Li Hao*, Wenting Ma, Guobin Gong, Shiwang Yu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

As an inevitable part of construction and demolition (C&D) waste, muck has a dreadful environmental impact due its inadequate management by the traditional governance process. This paper therefore focuses on the management of muck generated from C&D waste by utilizing platform governance as an alternative process, which should more effectively contribute to China’s circular economy. The study explores the feasibility of providing such a platform governance mode by using Petri net to compare the traditional governance process and platform governance process for the management of muck trucks, and by using Nanjing’s muck smart supervision platform as a case study to assess the effectiveness of the platform governance mode. Results from Petri net simulation modeling reveal that the platform governance mode is more effective than the traditional mode, and from the case study it is found that the success of Nanjing’s muck waste management can be attributed to the platform governance mode. The platform management approach can therefore contribute to the sustainability of muck waste governance, and is suitable as an integrated and effective management mode for current practices of muck waste management and resource recovery in China. The main finding from the study is that the platform governance mode significantly improves the efficiency of muck waste management as compared with the traditional governance mode and can therefore provide greater economic and environmental benefits as part of a circular economy.

Original languageEnglish
Pages (from-to)17748-17759
Number of pages12
JournalEnvironmental Science and Pollution Research
Volume31
Issue number12
DOIs
Publication statusPublished - Mar 2024

Keywords

  • C&D
  • Construction project
  • Environmental impact
  • Petri net
  • Process analysis
  • Process optimization

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