Multi-criteria decision-making methods for the optimal location of construction and demolition waste (C&DW) recycling facilities

2013 ◽  
pp. 76-107 ◽  
Author(s):  
E. Dosal ◽  
J.R. Viguri ◽  
A. Andrés
Keyword(s):  
Decision Making ◽  
Optimal Location ◽  
Construction And Demolition Waste ◽  
Multi Criteria Decision Making ◽  
Demolition Waste ◽  
Recycling Facilities

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.

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.

Decision-making interaction among stakeholders regarding construction and demolition waste recycling under different power structures

2021 ◽  
Vol 131 ◽  
pp. 491-502
Author(s):  
Yangyue Su ◽  
Jianguo Chen ◽  
Hongyun Si ◽  
Guangdong Wu ◽  
Ranran Zhang ◽  
...  
Keyword(s):  
Decision Making ◽  
Waste Recycling ◽  
Construction And Demolition Waste ◽  
Power Structures ◽  
Demolition Waste

Prioritizing the effective strategies for construction and demolition waste management using fuzzy IDOCRIW and WASPAS methods

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maryam Eghbali-Zarch ◽  
Reza Tavakkoli-Moghaddam ◽  
Kazem Dehghan-Sanej ◽  
Amin Kaboli
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Waste Management ◽  
Social Life ◽  
Fuzzy Numbers ◽  
Model Performance ◽  
Construction And Demolition Waste ◽  
Demolition Waste ◽  
Content Type ◽  
Effective Strategies

PurposeThe construction industry is a key driver of economic growth. However, the adverse impacts of construction and demolition waste (CDW) resulted from the active construction projects on the economy, environment, public health and social life necessitates an appropriate control and management of this waste stream. Developing and promoting the construction and demolition waste management (CDWM) hierarchy program at the strategic level is essential.Design/methodology/approachThis study aims to propose a hybrid decision model that hybridizes the Integrated Determination of Objective Criteria Weights (IDOCRIW) and weighted aggregated sum product assessment (WASPAS) under a fuzzy environment.FindingsThe proposed method ranks the potential strategic alternatives by the sustainable development criteria to improve the performance of CDWM. As indicated in the results, the fuzzy approach in the decision-making process enables the transformation of linguistic variables into fuzzy numbers that show uncertainty and ambiguity in real-world systems. Moreover, the close correlation between the final ranking of the proposed methodology and the average priority order of the strategic alternatives obtained by five different multi-criteria decision-making (MCDM) methods implies the validity of the model performance.Practical implicationsThis proposed model is an appropriate tool to effectively decide on the development of CDWM from a strategic point of view. It aims to establish an MCDM framework for the evaluation of effective strategies for CDWM according to the indices of sustainable development. Implementing proper operational plans and conducting research in CDWM has the highest priority, and enacting new and more stringent laws, rules and regulations against the production of CDW has secondary priority. This study contributes to the field by optimizing the CDWM by applying the top-priority strategies resulted from the proposed fuzzy hybrid MCDM methodology by the decision-makers or policy-makers to reach the best managerial strategic plan.Originality/valueIn the proposed methodology, the IDOCRIW technique is utilized and updated with the triangular fuzzy numbers for the first time in the literature to derive the weights of sustainable development criteria. The fuzzy WASPAS method is utilized for evaluation and providing a final ranking of the strategic alternatives.

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