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dc.contributor.authorGrytli, Tuva
dc.contributor.authorBirgen, Cansu
dc.date.accessioned2024-01-19T10:44:40Z
dc.date.available2024-01-19T10:44:40Z
dc.date.created2023-08-23T13:47:12Z
dc.date.issued2023
dc.identifier.citationComputer-aided chemical engineering. 2023, 52, 2143-2148.en_US
dc.identifier.issn1570-7946
dc.identifier.urihttps://hdl.handle.net/11250/3112772
dc.description.abstractA comprehensive waste composition analysis was undertaken in 2021, covering ten municipal waste companies in Central Norway. The results are used in a multiple linear regression model to explore factors influencing the municipal solid waste sorting behaviour. The aim of the study is to better understand what affects waste sorting, to aid in the progress of achieving circular economy targets. The share of food waste and mixed waste in the mixed waste bin is analysed considering three variables: Food waste collection system, glass and metal packaging waste collection system and type of settlement. The waste collection systems are found to have a significant effect on the sorting behaviour, where the possibility for sorting and the user-friendliness and transparency of the sorting system are important factors. Type of settlement is not found to have a significant effect on the sorting behaviour. We recommend further in-depth studies to confirm and expand on the findings in this study, and to better utilise the potential of waste composition analyses to enhance understanding of waste sorting behaviour. This understanding is crucial to reach a more circular waste system.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleEnabling circularity: Analysis of factors influencing MSW sorting behaviour in Central Norwayen_US
dc.title.alternativeEnabling circularity: Analysis of factors influencing MSW sorting behaviour in Central Norwayen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber2143-2148en_US
dc.source.volume52en_US
dc.source.journalComputer-aided chemical engineeringen_US
dc.identifier.doi10.1016/B978-0-443-15274-0.50341-3
dc.identifier.cristin2169038
dc.relation.projectNorges forskningsråd: 319795en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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