Evaluation of waste management using clustering algorithm in megacity Istanbul

dc.contributor.authorGuleryuz, Didem
dc.date.accessioned2024-10-04T18:58:40Z
dc.date.available2024-10-04T18:58:40Z
dc.date.issued2020
dc.departmentBayburt Üniversitesien_US
dc.description.abstractIndustrialization and urbanization are increasing with the effect of globalization worldwide. The waste management problems are rising with the rising population rate, industrialization, and economic developments in the cities, which turned into environmental problems that directly affect human health. This study aims to examine waste management performance in the districts located in the city of Istanbul. To ensure that the districts are clustered in terms of the similarities and differences base on waste management. On this occasion, the authorized unit managers of the districts in the same cluster will be able to establish similar management policies and make joint decisions regarding waste management. In addition, the division of districts into clusters according to the determining indicators can provide information about the locations of waste storage centers. Also, these clusters will form the basis for the optimization constraints required to design appropriate logistics networks. Waste management performance of 39 districts in Istanbul in 2019 was compared by taking into consideration domestic waste, medical waste, population, municipal budget, and mechanical sweeping area. The data were obtained from The Istanbul Metropolitan Municipality (IMM) and Turkey Statistical Institute (TURKSTAT). One of the non-hierarchical clustering methods, the K-means clustering method, was applied using IBM SPSS Modeler data mining software to determine the relations between 39 districts. As a result, the waste management performance of the districts was evaluated according to the statistical data, similarities and differences were revealed by using the determined indicators. © Yildiz Technical University, Environmental Engineering Department. All rights reserved.en_US
dc.identifier.doi10.35208/ert.764363
dc.identifier.endpage112en_US
dc.identifier.issn2636-8498
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85126420887en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage102en_US
dc.identifier.trdizinid386489en_US
dc.identifier.urihttps://doi.org/10.35208/ert.764363
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/386489
dc.identifier.urihttp://hdl.handle.net/20.500.12403/3960
dc.identifier.volume3en_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherYildiz Technical Universityen_US
dc.relation.ispartofEnvironmental Research and Technologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectclusteringen_US
dc.subjectdata miningen_US
dc.subjectK-meansen_US
dc.subjectWaste managementen_US
dc.titleEvaluation of waste management using clustering algorithm in megacity Istanbulen_US
dc.typeArticleen_US

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