Strategic deployment of piezoelectric energy harvesting in smart urban infrastructure: A hybrid QPFRS, M-SWARA, K-means clustering, and PROMETHEE evaluation for sustainable advantage

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dc.authorscopusidOkan Yaşar / 57197814709
dc.authorwosidOkan Yaşar / AGY-9359-2022
dc.contributor.authorMızrak, Filiz
dc.contributor.authorYaşar, Okan
dc.date.accessioned2025-04-17T11:54:11Z
dc.date.available2025-04-17T11:54:11Z
dc.date.issued2025
dc.departmentİstinye Üniversitesi, İktisadi, İdari ve Sosyal Bilimler Fakültesi, Yönetim Bilişim Sistemleri Bölümü
dc.description.abstractThis study develops a hybrid multi-criteria decision-making (MCDM) model to evaluate and prioritize kinetic energy harvesting materials for urban infrastructure, a critical area as cities increasingly adopt sustainable technologies to meet energy demands. The integration of Quadripartitioned Fuzzy Rough Sets (QPFRS), MSWARA, K-Means clustering, and PROMETHEE offers a novel approach for addressing the complexities of material selection by balancing factors such as energy efficiency, durability, cost, scalability, and environmental impact. The strategic importance of this research lies in its potential to guide urban planners and policymakers toward making informed decisions that align with long-term sustainability goals and competitive advantages in smart city development. The findings identify BaTiO3 and ZnO as the most suitable materials for large-scale urban projects, offering superior performance in scalability and environmental sustainability, while materials like PZT exhibit strong energy efficiency but pose environmental concerns. By offering a comprehensive, adaptable evaluation framework, this study contributes both methodologically and practically to the growing field of sustainable urban infrastructure, ensuring that material selection not only meets immediate energy needs but also supports long-term urban development strategies.
dc.identifier.citationMizrak, F., & Yaşar, O. (2025). Strategic deployment of piezoelectric energy harvesting in smart urban infrastructure: A hybrid QPFRS, M-SWARA, K-means clustering, and PROMETHEE evaluation for sustainable advantage. Energy Reports, 13, 2565-2582.
dc.identifier.doi10.1016/j.egyr.2025.02.005
dc.identifier.endpage2582
dc.identifier.issn2352-4847
dc.identifier.scopus2-s2.0-85217382679
dc.identifier.scopusqualityQ1
dc.identifier.startpage2565
dc.identifier.urihttp://dx.doi.org/10.1016/j.egyr.2025.02.005
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6237
dc.identifier.volume13
dc.identifier.wosWOS:001426778100001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorYaşar, Okan
dc.institutionauthoridOkan Yaşar / 0000-0002-5455-4274
dc.language.isoen
dc.publisherElsevier ltd
dc.relation.ispartofEnergy reports
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectEnvironmental Sustainability
dc.subjectKinetic Energy Harvesting
dc.subjectMulti-Riteria Decision-Making (MCDM)
dc.subjectSmart City Development
dc.subjectStrategic Management
dc.subjectSustainable Urban Infrastructure
dc.titleStrategic deployment of piezoelectric energy harvesting in smart urban infrastructure: A hybrid QPFRS, M-SWARA, K-means clustering, and PROMETHEE evaluation for sustainable advantage
dc.typeArticle

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