Evaluation of construction and demolition waste utilization schemes under uncertain environment: A fuzzy heterogeneous multi-criteria decision-making approach

2021 ◽  
pp. 127907
Author(s):  
Fan Zhang ◽  
Yanbing Ju ◽  
Ernesto D.R. Santibanez Gonzalez ◽  
Aihua Wang ◽  
Peiwu Dong ◽  
...  
Keyword(s):  
Decision Making ◽  
Waste Utilization ◽  
Construction And Demolition Waste ◽  
Multi Criteria Decision Making ◽  
Demolition Waste ◽  
Uncertain Environment

Selecting Demolition Waste Materials Disposal Alternatives Using Fuzzy TOPSIS Technique

2020 ◽  
pp. 730-750
Author(s):  
Mohamed Marzouk ◽  
Mohamed Abd El-Razek
Keyword(s):  
Decision Making ◽  
Developing Countries ◽  
Natural Resources ◽  
Fuzzy Topsis ◽  
Waste Materials ◽  
Multi Criteria Decision Making ◽  
Demolition Waste ◽  
Construction And Demolition Wastes ◽  
Topsis Technique ◽  
Selection Of

This article describes how in developing countries, millions of tons of construction and demolition wastes (CDWs) are lost every year due to lack of knowledge of recycling significance and/or procedures. Despite the high value of CDWs, high percentage of this waste is either dumped illegally or disposed in the landfills. Disposal methods should consider saving natural resources and maintaining the environmental conditions through maximizing the value of CDWs. This article aims at choosing the most sustainable disposal alternative using Multi-Criteria Decision Making (MCDM) Process, considering several sustainability measure indicators. The research introduces a list containing the most relevant and significant sustainable indicators that affect the selection of alternative for disposal of CDWs. Then, fuzzy TOPSIS technique is applied considering the significant indicators on each alternative to rank and choose the best alternative for disposal of CDWs.

Selecting Demolition Waste Materials Disposal Alternatives Using Fuzzy TOPSIS Technique

2017 ◽  
Vol 6 (2) ◽  
pp. 38-57 ◽  
Author(s):  
Mohamed Marzouk ◽  
Mohamed Abd El-Razek
Keyword(s):  
Decision Making ◽  
Developing Countries ◽  
Natural Resources ◽  
Fuzzy Topsis ◽  
Waste Materials ◽  
Multi Criteria Decision Making ◽  
Demolition Waste ◽  
Construction And Demolition Wastes ◽  
Topsis Technique ◽  
Selection Of

This article describes how in developing countries, millions of tons of construction and demolition wastes (CDWs) are lost every year due to lack of knowledge of recycling significance and/or procedures. Despite the high value of CDWs, high percentage of this waste is either dumped illegally or disposed in the landfills. Disposal methods should consider saving natural resources and maintaining the environmental conditions through maximizing the value of CDWs. This article aims at choosing the most sustainable disposal alternative using Multi-Criteria Decision Making (MCDM) Process, considering several sustainability measure indicators. The research introduces a list containing the most relevant and significant sustainable indicators that affect the selection of alternative for disposal of CDWs. Then, fuzzy TOPSIS technique is applied considering the significant indicators on each alternative to rank and choose the best alternative for disposal of CDWs.

A fuzzy evaluation and selection of construction and demolition waste utilization modes in Xi’an, China

2020 ◽  
Vol 38 (7) ◽  
pp. 792-801
Author(s):  
Fan Zhang ◽  
Yanbing Ju ◽  
Peiwu Dong ◽  
Ernesto DR Santibanez Gonzalez
Keyword(s):  
Choquet Integral ◽  
Mode Selection ◽  
Waste Utilization ◽  
Evaluation Index System ◽  
Construction And Demolition Waste ◽  
Fuzzy Evaluation ◽  
Demolition Waste ◽  
Interval Numbers ◽  
Holistic View ◽  
Electre Method

The inadequate reuse and recycle of construction and demolition waste (C&DW) has been identified as a major issue, as it implies the depletion of natural aggregates, massive occupation of landfill and inefficiency of construction industry. However, a holistic view involving economic, technical and comprehensive dimensions has rarely been adopted for C&DW utilization evaluation against both qualitative and quantitative criteria. In this study, we propose a framework in a heterogeneous group decision-making environment to solve the C&DW utilization mode selection problem by integrating the Choquet integral and the elimination and choice translating reality (ELECTRE) method with two data forms, that is, interval-valued hesitant fuzzy numbers and real numbers. Firstly, an evaluation index system is constructed to assess multiple representative C&DW utilization modes in Xi’an, China. Secondly, a novel method is proposed to apply the Choquet integral for aggregation of evaluation values and fuzzy ELECTRE for outranking of C&DW utilization modes after the heterogenous evaluation data are unified into interval numbers. Thirdly, to illustrate the application of the proposed framework, this paper evaluates four typical C&DW utilization modes based on a case study in Xi’an, China, and the result shows that the most preferable mode is A3 (off-site crushing, roadbed backfilling). Finally, a comparative analysis is conducted to verify the effectiveness of this framework. This study presents useful findings to C&DW practitioners and can help avoid intuitive selection among available C&DW utilization modes.

scholarly journals Incentive or Punitive Measure? Analysis of Environmental Regulations in Construction and Demolition Waste Recycling

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Jingsong Yang ◽  
Jing Zhang ◽  
Chunxiang Guo ◽  
Ruwen Tan ◽  
Minjiu Yu
Keyword(s):  
Decision Making ◽  
Social Welfare ◽  
Environmental Regulations ◽  
Waste Recycling ◽  
Incentive Regulation ◽  
Construction And Demolition Waste ◽  
Demolition Waste ◽  
Decision Making System ◽  
Measure Analysis ◽  
The Government

In order to investigate the formulation of appropriate environmental regulations in construction and demolition waste (CDW) recycling, this paper establishes a CDW recycling decision-making system consisting of a contractor, a developer, and the government and analyses the decision-making results and influencing factors of the various stakeholders. Three different types of environmental regulations have been considered in the model: (i) no regulation, (ii) incentive regulation, and (iii) punitive regulation. The research shows that the incentive regulation offers the constructor greater incentives to recycle CDW and yields higher profits for members of the system, and however, when recycling is very costly and CDW is highly damaging, punitive regulation should be implemented, as the incentive regulation leads to lower social welfare. In addition, governments should be more cautious when adopting incentive regulation, because social welfare may be negative under this condition whereas there is no such possibility under the punitive regulation.

scholarly journals Environmental Impacts and Benefits of the End-of-Life of Building Materials: Database to Support Decision Making and Contribute to Circularity

2021 ◽  
Vol 13 (22) ◽  
pp. 12659
Author(s):  
Ana Antunes ◽  
Ricardo Martins ◽  
José Dinis Silvestre ◽  
Ricardo do Carmo ◽  
Hugo Costa ◽  
...  
Keyword(s):  
Decision Making ◽  
Waste Management ◽  
End Of Life ◽  
Environmental Impacts ◽  
Building Materials ◽  
National Level ◽  
Construction And Demolition Waste ◽  
Demolition Waste ◽  
Life Phase ◽  
The Impact

This paper outlines a methodology for structuring a generic database of environmental impacts on the end-of-life phase of buildings, which can be used at the national level, in accordance with European standards. A number of different options are also considered for managing construction and demolition waste (CDW), as well as for promoting the circularity of materials in construction. The database structure has been developed for use by the main stakeholders who decide the disposal scenario for the main CDW flows, assess waste management plans, and identify the corresponding environmental aspects. The impact categories considered in this paper are global warming potential (GWP) and the abiotic depletion potential of fossil fuels (ADP (f.f.)). This lifecycle assessment (LCA) database further facilitates the identification of important information, such as possible treatments for CDW, or suppliers of recycled materials for use in new construction. Two demolition case studies were used to confirm the benefits of the proposed database. Two demolition scenarios are assessed—traditional and selective—in order to demonstrate the advantage of selective demolition in waste management. The results obtained from the environmental assessment of CDW flows demonstrate that the proposed database can be an important and useful tool for decision making about the end-of-life of construction materials, as it is designed to maximize their reuse and recycling. An innovative online platform can be created based on this database, contributing to the reduction of the environmental impacts associated with the end-of-life phase of buildings.

Efficient supervision strategy for illegal dumping of construction and demolition waste: A networked game theory decision-making model

2021 ◽  
pp. 0734242X2110320
Author(s):  
Chenyu Liu ◽  
Chunxiang Hua ◽  
Jianguo Chen
Keyword(s):  
Decision Making ◽  
Forest Fires ◽  
Evolutionary Game ◽  
Small World ◽  
Economic Benefits ◽  
Construction And Demolition Waste ◽  
Demolition Waste ◽  
Illegal Dumping ◽  
Government Supervision ◽  
The Government

While the construction industry has brought substantial economic benefits to society, it has also generated substantial construction and demolition waste (CDW). Illegal dumping, which refers to dumping CDW in an unauthorized non-filling location, has become widespread in many countries and regions. Illegally dumping CDW destroys the environment, causing groundwater pollution and forest fires and causing significant economic impacts. However, there is a lack of research on the decision-making behaviours and logical rules of the main participants, construction contractors and the government in the illegal CDW dumping process. This paper constructs an evolutionary game model on a small-world network considering government supervision to portray the decision-making behaviours of illegal dumping participants and conducts a numerical simulation based on empirical equations to propose an effective supervision strategy for the government to manage illegal CDW dumping efficiently. It is found that the illegal dumping behaviours of contractors are mainly affected by the intensity of government supervision, the cost of fines and the income of illegal dumping; while for government, a supervision strategy is found to be necessary, and a supervision intensity of approximately 0.7 is the optimal supervision probability given supervision efficiency. Notably, under a low-level supervision probability, increasing the penalty alone does not curb illegal dumping, and a certain degree of supervision must be maintained. The results show that in addition to setting fines for illegal dumping, the government must enforce a certain level of supervision and purify the market environment to steadily reduce illegal dumping.

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