Evidence map›Paper›PMID 37581726›Full record

ArticleEnvironmental science and pollution research international2024

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

Abstract read
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Article in Environmental science and pollution research international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Weiwei WuSchool of Civil Engineering, Southeast University, Nanjing, 211102, Jiangsu, China.
Youying YinSchool of Civil Engineering, Southeast University, Nanjing, 211102, Jiangsu, China.
Jian Li HaoDepartment of Civil Engineering, Xi'an Jiaotong Liverpool University, Suzhou, 215123, Jiangsu, China. jianli.hao@xjtlu.edu.cn.ORCID http://orcid.org/0000-0003-3064-9794
Wenting MaSchool of Architecture and Urban Planning, Suzhou University of Science and Technology, Suzhou, 215011, China.
Guobin GongDepartment of Civil Engineering, Xi'an Jiaotong Liverpool University, Suzhou, 215123, Jiangsu, China.
Shiwang YuDepartment of Civil Engineering, Xi'an Jiaotong Liverpool University, Suzhou, 215123, Jiangsu, China.

Funding

National Natural Science Foundation of China 72271052
6 · The paper itself

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.

Indexed as

Waste ManagementChinaComputer SimulationRecyclingC&DConstruction projectEnvironmental impactPetri netProcess analysisProcess optimization

Identifiers

PMID37581726

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.