Enhancing municipal solid waste management efficiency through clustering: a case study

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dc.authorid0000-0003-4204-1364
dc.contributor.authorÇil, Sedat
dc.contributor.authorKaraer, Feza
dc.contributor.authorSalihoğlu, N. Kamil
dc.contributor.authorTabansız Göç, Gülveren
dc.contributor.authorÇavdur, Fatih
dc.contributor.authorid409903
dc.date.accessioned2025-02-05T14:57:22Z
dc.date.available2025-02-05T14:57:22Z
dc.date.issued2024-11
dc.departmentFakülteler, Mühendislik, Mimarlık ve Tasarım Fakültesi, Endüstri Mühendisliği Bölümü
dc.descriptionScience Citation Index Expanded (SCI-EXPANDED)
dc.description.abstractThis study leverages real-time datasets generated through IoT technology and smart city applications to enhance solid waste management in Yalova Province, Turkey. By integrating these datasets with the municipality’s Geographic Information System (GIS) using the ITRF/96 3 UTM X Y Coordinate System, a dynamic waste collection framework was established. The K-Means clustering algorithm was employed to determine the optimal waste container placement, considering capacities of 550, 800, 1,000, and 3,000 liters and walking distances of 50–100 ms. Results indicated that 1,000 and 3,000-liter containers with a 100-m walking distance maximized collection efficiency. Replacing 484 traditional containers with 105 units of 3,000 liters reduced total routes by 34%, transport costs by 42.2%, and CO2 emissions by 33.5%. The study underscores the importance of integrating GIS and IoT technologies for real-time waste management, aligning with the UN’s Sustainable Development Goals (SDG 11 and SDG 13). By combining data-driven decision-making with urban sustainability practices, it offers a replicable model for municipalities seeking to reduce costs and environmental impacts in waste collection.
dc.identifier.citationÇіl, S., Karaer, F., Salihoglu, N. K., Tabansiz-Goc, G., & Cavdur, F. (2024). Enhancing municipal solid waste management efficiency through clustering: a case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 46(1), 17304–17314. https://doi.org/10.1080/15567036.2024.2435540
dc.identifier.doi10.1080/15567036.2024.2435540
dc.identifier.eissn1556-7230
dc.identifier.endpage17314
dc.identifier.issn1556-7036
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85211112026
dc.identifier.startpage17304
dc.identifier.urihttps://dspace.mudanya.edu.tr/handle/20.500.14362/269
dc.identifier.volume46
dc.identifier.wosWOS:001369524300001
dc.identifier.wosqualityQ3
dc.institutionauthorTabansız Göç, Gülveren
dc.language.isoen
dc.publisherTaylor and Francis
dc.relation.journalEnergy Sources, Part A: Recovery, Utilization, and Environmental Effects
dc.relation.publicationcategoryMakale- Uluslararası- Hakemli Dergi- Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAlgorithm
dc.subjectclustering
dc.subjectmunicipal solid waste management
dc.subjectoptimization
dc.subjectsmart city
dc.subjectsustainability
dc.titleEnhancing municipal solid waste management efficiency through clustering: a case study
dc.typeMakale
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