Submitted:
11 March 2026
Posted:
12 March 2026
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Abstract
Keywords:
1. Introduction
2. Methodology
2.1. Systematic Review Framework
2.2. Literature Search Strategy
- Plastic waste and materials: plastic waste, bioplastic, recycled plastic
- Construction applications: building materials, construction, composites, insulation
- Sustainability concepts: sustainability, circular economy, life cycle
- Decision-support methods: multi-criteria decision analysis, MCDA, SWOT
2.3. Inclusion and Exclusion Criteria
- Peer-reviewed journal articles
- Focus on reuse of plastic or bioplastic waste in construction materials
- Explicit consideration of sustainability aspects
- Application of MCDA methods and/or SWOT analysis, or structured multi-criteria evaluation
- Studies focusing solely on mechanical or physical characterization without sustainability assessment
- Research addressing plastic waste incineration or energy recovery only
- Non-construction-related reuse pathways
- Conference papers, editorials, and non-peer-reviewed sources
2.4. Study Selection and Data Extraction
3. Results and Discussion
4. Overview of Plastic and Bioplastic Waste in Construction Applications
4.1. Fossil-Based Plastic Waste
4.2. Bioplastic Waste
4.3. Structural Applications
4.4. Non-Structural Building Elements
4.5. Insulation and Lightweight Materials
4.6. Composite Materials and Hybrid Systems
4.7. Summary and Relevance for Subsequent Analysis
5. Sustainability Dimensions and Evaluation Criteria
5.1. Environmental Dimension
5.2. Economic Dimension
5.3. Technical Dimension
5.4. Social and Regulatory Dimension
5.5. Harmonization of Sustainability Criteria for Decision-Support Analysis
6. Applications of Multi-Criteria Decision Analysis in Evaluating Plastic-Based Building Materials
6.1. Common MCDA Methods
6.2. Application Contexts of MCDA in Plastic-Based Construction Materials
6.3. Synthesis of Key Findings from MCDA Studies
6.4. Summary of MCDA Applications in Reviewed Studies
| aterial / Application (scope) | MCDA method / tool |
Main criteria considered | Main outcome | Source |
|---|---|---|---|---|
| Plastic waste management | AHP/TOPSIS | Environmental (GHG, leakage/pollution), Economic (cost), Social (acceptance), Technical/logistics | Identifies how MCDA is used to structure plastic-waste decisions; highlights method diversity (AHP/TOPSIS/outranking), criteria heterogeneity, and need for transparent weighting + robustness across studies | 12 |
| End-of-life alternatives for waste plastics (Norway case study) | Modified MAVT | Environmental, economic, social impacts; comparisons of recycling vs incineration vs landfill scenarios | Compares EoL scenarios (incl. recycling inland vs export) and shows decision outcome depends on multi-dimensional trade-offs across sustainability pillars (exact “best” scenario should be stated from full text for your specific wording) | 13 |
| Recycled-plastic paver blocks | TOPSIS | Mechanical strength, water absorption, high-temperature resistance; (often includes cost/sustainability indicators depending on model) | Ranks alternative recycled-plastic compositions (and reinforcement configurations); identifies the most suitable paver composition under TOPSIS based on performance trade-offs (verify exact top-ranked blend from full text) | 42 |
| Waste plastics + agro-waste composites for construction materials (circular economy focus) | AHP/TOPSIS/VIKOR-type combinations | Circular economy + sustainability criteria: environmental benefit, technical performance, economic feasibility, availability, end-of-life | Selects the most suitable waste plastic type(s) for incorporation with agro-waste for building materials under an integrated MCDM framework (verify the exact top-ranked polymer and weighting logic from full text) | 32 |
| Insulation materials in buildings | AHP/TOPSIS/VIKOR | Environmental (LCA indicators), Economic (cost/LCC), Technical (thermal conductivity, fire), Social/health | Synthesizes which MCDM methods dominate insulation selection and highlights lack of standardization in criteria/weights and the importance of LCA/LCC integration | 19 |
| Concrete using waste PET bottle-cap aggregates (sustainable concrete production) | AHP | Concrete performance (fresh + hardened), durability proxies, sustainability/environmental benefit, feasibility | Concludes PET cap aggregates can support sustainable concrete performance and sustainability objectives; proposes/uses MCDM to select the most suitable concrete alternative | 43 |
| Building parts selection - LCA + MCDM (methodological + application paper) | AHP | Environmental impacts from LCA + technical/economic/social criteria depending on case | Provides criteria/method guidance and demonstrates how combining LCA indicators with MCDM supports sustainable building-part selection; emphasizes criteria definition + normalization + interpretation | 35 |
| Ecological paving stones using plastic + glass waste + granular reinforcement | AHP | Mechanical strength, water absorption, constituents/material contribution, process/quality factors | Identifies favorable constituents (e.g., glass/glass waste + gravel) and selects preferred composition(s); reports that some tested pavers may not meet high-traffic standard requirements (reported in paper) | 36 |
| Structural material selection for a multi-storey building (not plastic-specific; method anchor) | Hybrid DSS using AHP + TOPSIS + VIKOR (fuzzy environment) | Four pillars of sustainability (environmental/economic/technical/social) + stakeholder preferences | Shows rankings are sensitive to stakeholder preferences; reports timber can emerge as top option under balanced sustainability weighting | 44 |
| Waste management decision-making critical review scope (not plastic-specific) | AHP, ANP, ELECTRE, fuzzy methods, MAVT/MAUT, PROMETHEE, TOPSIS, and others | Criteria sets across environmental/economic/social/technical; method selection; uncertainty/participation | Reviews how MCDM supports waste management planning; highlights recurring issues: inconsistent criteria, weak transparency in weights, limited uncertainty treatment | 41 |
| Plastic waste management methods evaluation | AHP | Typical AHP hierarchy: environmental, economic, technical, social/regulatory criteria (study-specific) | Uses AHP to rank plastic waste management methods and identify the “best” method under chosen criteria (verify the top-ranked method from full text) | 40 |
6.5. Implications for Decision-Support Practice
7. SWOT Analysis of Circular Plastic- and Bioplastic-Based Building Materials
7.1. Strengths
7.2. Weaknesses
7.3. Opportunities
7.4. Threats
7.5. Why SWOT Complements but Not Replaces MCDA
8. Integrated MCDA–SWOT Discussion and Proposed Framework for Decision-Oriented Circular Construction
8.1. Complementary Roles of MCDA and SWOT
- Explicit management of trade-offs (e.g., balancing greenhouse gas emissions, cost, and fire performance),
- Transparent prioritization aligned with stakeholder objectives,
- Sensitivity and uncertainty analysis to assess how rankings shift under different assumptions.
- Market readiness (acceptance, demand, procurement frameworks),
- Regulatory feasibility (building codes, certification pathways, liability considerations),
- Supply-chain maturity (feedstock availability and sorting quality),
- External drivers (policy incentives, circular economy initiatives, urban mining strategies),
- Competitive pressures (price volatility of virgin materials, policy instability).
8.2. Why Combining MCDA and SWOT Improves Decision Quality
- Quantitative evidence of sustainability performance (e.g., MCDA or LCA-MCDA results), and
- A strategic understanding of barriers and enabling conditions (captured through SWOT analysis).
- Uses MCDA to rank materials based on sustainability and technical performance,
- Applies SWOT to assess whether top-ranked alternatives are viable within local regulatory, market, and supply-chain conditions,
- Supports application-specific decisions (e.g., structural, non-structural, insulation) by aligning criteria with functional requirements and feasibility considerations.
- Quantitative identification of high-performing material or technology pathways,
- Systematic recognition of scale-up risks (e.g., market distrust, regulatory barriers, feedstock variability),
- Prioritization of enabling investments, such as certification processes, supply-chain development, and quality assurance systems.
8.3. How SWOT Can Inform MCDA Weighting
- Threshold (gating) approach: Critical criteria such as fire performance and code compliance are treated as non-compensatory constraints. Alternatives must meet predefined minimum standards before being considered in the ranking process.
- Weight escalation: In jurisdictions with strict fire regulations or certification requirements, higher weights can be assigned to criteria such as fire resistance, smoke toxicity, and certification readiness to reflect heightened regulatory scrutiny [14].
- Increasing the emphasis on waste diversion, recycled content, and greenhouse gas reduction,
- Incorporating or strengthening circularity indicators, such as end-of-life recovery potential or mono-material design strategies.
- Assigning greater weight to feedstock quality stability, process robustness, and scalability,
- Introducing explicit criteria related to supply reliability and quality assurance,
- Developing sensitivity scenarios that compare stable versus unstable supply conditions.
- Regulatory profile: Highest weights assigned to fire safety, toxicity, and compliance,
- Manufacturer profile: Greater emphasis on processing cost, yield, and scalability,
- Municipal profile: Prioritization of diversion rates, greenhouse gas reduction, and circularity indicators,
- Client/market profile: Emphasis on aesthetics, performance assurance, and certification.
8.4. Proposed Conceptual MCDA–SWOT Framework for Circular Plastic Construction Materials
- Application type: structural, non-structural, insulation, or composite systems
- Geographic and regulatory context: applicable building codes, certification schemes, and infrastructure conditions
- Alternatives under evaluation: polymer types, material formulations, processing routes, and end-of-life strategies
- Map all performance indicators onto the four sustainability dimensions defined in Section 4 (environmental, economic, technical, social/regulatory)
- Ensure comparability of criteria through consistent units, normalization procedures, and aggregation rules
- Identify data gaps and apply qualitative scoring where necessary
- Internal factors: strengths and weaknesses of each material alternative or technology pathway
- External factors: opportunities and threats specific to the region, market, and regulatory environment
- Output: identification of feasibility signals, implementation barriers, and adoption risks
- Select the appropriate MCDA method (e.g., AHP, TOPSIS, PROMETHEE,VIKOR, MAVT, ELECTRE, or hybrid LCA–MCDA)
- Define scoring rules and normalization procedures
- Assign baseline weights using stakeholder elicitation or expert judgment
- Introduce gating or threshold constraints (e.g., minimum fire performance or regulatory compliance)
- Adjust weights to reflect dominant SWOT signals (e.g., increased emphasis on certification readiness under strict regulatory environments)
- Develop scenario-based weighting sets (e.g., policy-driven, market-driven, or risk-averse scenarios)
- Compute rankings under multiple weighting scenarios
- Conduct sensitivity analysis to identify potential ranking reversals
- Identify robust alternatives that maintain high performance across scenarios
- Final recommendations: preferred material and process options by application type
- Implementation measures: required standardization steps, certification pathways, and supply-chain improvements
- Policy and investment guidance: incentives, procurement criteria, infrastructure priorities
8.5. Methodological Contribution and Implications
- More robust and defensible weighting schemes grounded in real-world conditions,
- Greater practical relevance through explicit consideration of implementation feasibility and risk,
- Improved transferability across regions by enabling scenario-based decision profiles adapted to different regulatory, market, and policy environments.
9. Research Gaps and Future Directions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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| Construction Application Type | Environmental Criteria | Economic Criteria | Technical Criteria | Social / Regulatory Criteria | Source |
| Structural Applications | GHG emissions, embodied energy, resource efficiency | Lifecycle cost, maintenance cost | Mechanical strength, durability, creep, fire resistance | Code compliance, safety, liability | [12,13,19,32,40,41,42,43,44] |
| Non-structural Elements | Waste diversion, material circularity, emissions | Material cost, manufacturing cost | Adequate strength, dimensional stability | Market acceptance, aesthetics | [19,32,35,36,40,41,42,43,44] |
| Insulation & Lightweight Materials | Thermal performance, operational energy savings | Installation cost, energy cost savings | Thermal conductivity, moisture resistance | Fire safety, indoor air quality | [12,13,32,36,40,41,42,43,44] |
| Composite & Hybrid Systems | Multi-material impacts, recyclability | Processing complexity, scalability | Interfacial bonding, durability | Standardization, end-of-life management | [12,13,19,40,41,42,43,44] |
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