Optimal Water Management Strategies: Paving the Way for Sustainability in Smart Cities

Smart Cities, Journal Year: 2023, Volume and Issue: 6(5), P. 2849 - 2882

Published: Oct. 18, 2023

Global urbanization and increasing water demand make efficient resource management crucial. This study employs Multi-Criteria Decision Making (MCDM) to evaluate smart city strategies. We use representative criteria, employ objective judgment, assign weights through the Analytic Hierarchy Process (AHP), score strategies based on meeting these criteria. find that “Effectiveness Risk Management” criterion carries highest weight (15.28%), underscoring its pivotal role in strategy evaluation robustness. Medium-weight criteria include “Resource Efficiency, Equity, Social Considerations” (10.44%), “Integration with Existing Systems, Technological Feasibility, Ease of Implementation” (10.10%), “Environmental Impact” (9.84%) for ecological mitigation. “Community Engagement Public Acceptance” (9.79%) recognizes involvement, while “Scalability Adaptability” (9.35%) addresses changing conditions. “Return Investment” (9.07%) “Regulatory Policy Alignment” (8.8%) balance financial governance concerns. Two low-weight “Data Reliability” (8.78%) “Long-Term Sustainability” (8.55%), stress data accuracy sustainability. Highly weighted like “Smart Metering Monitoring, Demand Management, Behavior Change” Irrigation Systems” are particularly effective improving cities. However, medium-weighted (e.g., “Educational Campaigns Awareness”, “Policy Regulation”, “Rainwater Harvesting”, “Offshore Floating Photovoltaic Systems”, “Collaboration Partnerships”, “Graywater Recycling Reuse”, “Distributed Water Infrastructure”) low-weighted “Water Desalination”) also contribute can be combined higher-ranked ones create customized approaches each city’s unique context. research is significant because it urban complexity, offers a multi-criteria approach enhance traditional single-focused methods, evaluates cities comprehensively, provides criteria-weight-based allocation framework sustainable decisions, boosting resilience. Note results may vary specific needs constraints. Future studies could explore factors climate change consider alternative MCDM methods TOPSIS or ELECTRE evaluation.

Language: Английский

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Future Outdoor Safety Monitoring: Integrating Human Activity Recognition with the Internet of Physical–Virtual Things

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(7), P. 3434 - 3434

Published: March 21, 2025

The convergence of the Internet Physical–Virtual Things (IoPVT) and Metaverse presents a transformative opportunity for safety health monitoring in outdoor environments. This concept paper explores how integrating human activity recognition (HAR) with IoPVT within can revolutionize public safety, particularly urban settings challenging climates architectures. By seamlessly blending physical sensor networks immersive virtual environments, highlights future where real-time data collection, digital twin modeling, advanced analytics, predictive planning proactively enhance well-being. Specifically, three dimensions humans, technology, environment interact toward measuring health, climate. Three cultural scenarios showcase to utilize HAR–IoPVT sensors external staircases, rural climate, coastal infrastructure. Advanced algorithms analytics would identify potential hazards, enabling timely interventions reducing accidents. also societal benefits, such as proactive monitoring, enhanced emergency response, contributions smart city initiatives. Additionally, we address challenges research directions necessary realize this future, emphasizing AI technical scalability, ethical considerations, importance interdisciplinary collaboration designs policies. articulating an AI-driven HAR vision along required advancements edge-based fusion, responsiveness fog computing, social through cloud aim inspire academic community, industry stakeholders, policymakers collaborate shaping technology profoundly improves enhances enriches quality life.

Language: Английский

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An integrated quantum picture fuzzy rough sets with golden cuts for evaluating carbon footprint-based investment decision policies of sustainable industries

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 155, P. 111428 - 111428

Published: Feb. 24, 2024

Language: Английский

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PROGRESSIVE PRACTICES OF IMPLEMENTING PUBLIC-PRIVATE PARTNERSHIP PROJECTS IN CRITICAL INFRASTRUCTURE

Socio-economic relations in the digital society, Journal Year: 2024, Volume and Issue: 1(51), P. 59 - 72

Published: March 31, 2024

Private-public partnerships (PPPs) have become one of the leading and most effective models for investing in critical infrastructure, so use development PPP based on best practices is particular importance current crisis period during post-war recovery due to high pressure state budget risks investment. The purpose study analyze progressive implementation projects infrastructure sectors develop recommendations formulating a strategy usage different Ukrainian infrastructure. A detailed analysis approaches PPPs field was conducted, applying digitalization tools this area were identified, problems prospects their outlined. potential factors, barriers incentives regulatory, political, social, technical factors that affect effectiveness creating modern "smart infrastructure" are highlighted. It determined important execution countries recent years been transportation, environment, education, healthcare, telecommunications. However, Ukraine concluded main areas focus production supply water, gas heat, while less attention paid education healthcare. article proposes strategies determines each components successful PPPs, which will be relevant Ukraine, especially at stage reconstruction results provide systematized information useful civil authorities, investors, scientific community.

Language: Английский

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Telescopic forklift selection through a novel interval-valued Fermatean fuzzy PIPRECIA–WISP approach

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 255, P. 124674 - 124674

Published: July 5, 2024

Language: Английский

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An integrated risk and productivity assessment model for public–private partnership projects using fuzzy inference system

Decision Analytics Journal, Journal Year: 2023, Volume and Issue: 10, P. 100376 - 100376

Published: Dec. 1, 2023

Infrastructural projects based on public–private partnership (PPP) schemes usually struggle with large amounts of resources. Given such projects' relatively long lifetime, it is expected to encounter a wide range risks when executing them. This implies that increasing productivity cost, time, and quality goals requires accurately identifying assessing in these projects. study aims at risk assessment analysing PPP an integrated analysis method. To this end, first, library studies are utilized identify the most significant by surveying PPP-based urban underground construction Expert opinions fuzzy Delphi (FD) technique then employed three stages 48 secondary factors. By sources factors, we five primary dimensions: government, financing, operation, constructability, organization-related risks. A questionnaire distributed acquire experts' screen critical integrating FD failure mode effects (FFMEA). Results showed that, total, 23 factors dimensions exhibited priority number (RPNNormalized) values above 0.5, indicating their more impacts. In next phase, multi-stage inference system designed evaluate impacts Output results indicated very high, medium overall terms quality, respectively.

Language: Английский

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Influence of Project Governance Mechanisms on the Sustainable Development of Public-Private Partnership Projects: An Empirical Study from China

Buildings, Journal Year: 2023, Volume and Issue: 13(10), P. 2424 - 2424

Published: Sept. 23, 2023

In China, achieving sustainable development goals for PPP projects is an urgent issue. Project governance mechanisms are important to project sustainability, but there many risk factors in traditional mechanisms. This research focuses on embedding into the system with contract and relationship The main purpose reveal integration of its impact performance propose optimization strategies. First, by enriching understanding mechanism, improving measurement scale. Then, constructing a structural equation model, collecting data through questionnaires, exploring effect mechanism sustainability. (1) results direct testing show that contractual mechanisms, relational positively associated performance, sustainability; (2) mediating interaction three has positive performance. provide new approach perspectives practice projects.

Language: Английский

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Private Partner Prioritization for Public–Private Partnership Contracts in a Brazilian Water Company Using a Multi-Criteria Decision Aid Method

Mathematics, Journal Year: 2024, Volume and Issue: 12(13), P. 2041 - 2041

Published: June 30, 2024

Public–private partnerships (PPPs) are long-term contracts between government entities and private companies, increasingly being adopted in developing countries due to the large need for investments sectors such as water sewerage also order benefit from experience have access resources technology of sector. Prioritizing party contract becomes a complex decision characteristics PPP contracts, standard evaluation has not been yet, usually made by evaluating price. Thus, this research aims propose set criteria be incorporated into problem that involves technical aspects. It then seeks rank alternatives using multi-criteria aid method, FITradeoff, which supports decision-maker (DM) prioritization provides transparency security process.

Language: Английский

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Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multi-Criteria Decision-Making Approach

Mathematics, Journal Year: 2024, Volume and Issue: 12(17), P. 2713 - 2713

Published: Aug. 30, 2024

Climate risk assessment is critical for organisations, especially in sectors such as the processed food sector Colombia. This study addresses identification and of main climate transition risks using an approach that combines fuzzy logic with several multi-criteria decision-making methods. makes it possible to handle inherent imprecision these use linguistic expressions better describe them. The results indicate most are price volatility availability raw materials, shift towards less carbon-intensive production models, increased carbon taxes, technological advances, associated development or implementation costs. These significant organisation studied underline need investments meet regulatory requirements, which financial drivers organisations. analysis highlights importance a robust framework anticipate mitigate impacts transition.

Language: Английский

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Subcontratación de operaciones en la industria de muebles de madera artesanal: un enfoque multicriterio para la toma de decisiones

Fondo Editorial Universitario Servando Garcés de la Universidad Politécnica Territorial de Falcón Alonso Gamero / Alianza de Investigadores Internacionales S.A.S. eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 98 - 114

Published: Nov. 30, 2024

Esta investigación aborda la complejidad en selección de proveedores industria artesanal del mueble madera (IMM) Misantla, Veracruz, y propone un enfoque multicriterio mediante el método TOPSIS para mejorar subcontratación operaciones. La IMM enfrenta desafíos significativos asentados su informalidad administrativa relaciones comerciales, así como prácticas manufactura inconsistentes artesano a artesano. El metodológico utilizado fue mixto obteniendo información cualitativa cuantitativa, análisis evaluación obtenida población (46 talleres auxiliares carpinterías) se aplicó función varios criterios, carpinteros que funcionan servicios, comparando servicio con mejor desempeño posible peor resultado esperado, fin jerarquizarlos seleccionar al ellos. Los resultados mostraron algunos destacaron calidad precio, mientras otros fueron superiores capacidad proceso. clasificación proporciona una visión clara los más adecuados las necesidades carpinterías ayudando eficiencia producción. hallazgos ofrecen valiosa identificar especializados contribuyen desarrollo políticas estrategias IMM.

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