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Global knowledge base for municipal solid waste management

2022-12-01Artigo científico Acesso aberto
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dc.contributor.authorHe, Rui
dc.contributor.authorSandoval-reyes, Mexitli
dc.contributor.authorScott, Ian
dc.contributor.authorSemeano, Rui
dc.contributor.authorFerrão, Paulo
dc.contributor.authorMatthews, Scott
dc.contributor.authorSmall, Mitchell J.
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.pblElsevier
dc.date.accessioned2022-10-12T22:18:23Z
dc.date.available2022-10-12T22:18:23Z
dc.date.issued2022-12-01
dc.descriptionHe, R., Sandoval-reyes, M., Scott, I., Semeano, R., Ferrão, P., Matthews, S., & Small, M. J. (2022). Global knowledge base for municipal solid waste management: Framework development and application in waste generation prediction. Journal of Cleaner Production, 377(December), 1-11. [134501]. https://doi.org/10.1016/j.jclepro.2022.134501--- %ABS2% ---This research is supported by the Mao Yisheng Fellowship of Carnegie Mellon University to Rui He, and through the CMU-Portugal project “Bee2Waste Crypto” (IDT-COP 45933). The authors would like to thank other members of the Bee2Waste Crypto project consortium for their support and inputs to this paper.
dc.description.abstractIncreasing municipal solid waste (MSW) generation has become not only a major sustainability challenge and a considerable financial burden for municipalities across the globe, but also an opportunity to promote a circular economy, provided adequate information is made available. Data and information on MSW generation, characterization, and management practices are prerequisites to studying and optimizing solid waste management systems (SWMS). However, such data and information are usually dispersed, unsystematized, and suffering from various availability and quality issues. This study aims to assemble and provide access to the current landscape of MSW data by establishing a comprehensive framework for understanding the interconnectedness of various sub-domains of MSW knowledge. Existing databases and governmental reports were reviewed to compile 1720 records of MSW generation, composition, management practices, and socioeconomic contexts for 219 countries and 410 cities. Multivariate linear regression and additive models were built to relate MSW generation, composition, and recovery rates to demographics, economic development, and climate patterns of cities and regions. These models generate new insights into the complex nature of SWMS and provide an evidence-based decision-making tool to future researchers and policy makers. Specifically, economic development (GDP), density factors (population, population density, and household size), sustainability initiatives, education, and regulation are all identified as positive drivers toward the targets of United Nations Sustainable Development Goal 12.en
dc.description.versionpublishersversion
dc.description.versionpublishersversion
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent11
dc.format.extent3640136
dc.format.extent996528
dc.format.extent36065
dc.identifier.doi10.1016/j.jclepro.2022.134501
dc.identifier.issn0959-6526
dc.identifier.otherPURE: 47068272
dc.identifier.otherPURE UUID: 091258b7-32bd-4b7b-ba99-5177664718b7
dc.identifier.othercrossref: 10.1016/j.jclepro.2022.134501
dc.identifier.otherScopus: 85139594657
dc.identifier.otherWOS: 000875699500002
dc.identifier.otherORCID: /0000-0001-9699-4473/work/151417549
dc.identifier.urihttp://hdl.handle.net/10362/144663
dc.identifier.urlhttps://www.scopus.com/pages/publications/85139594657
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:000875699500002
dc.identifier.urlhttps://linkinghub.elsevier.com/retrieve/pii/S0959652622040732
dc.language.isoeng
dc.peerreviewedyes
dc.subjectMunicipal solid waste (MSW)
dc.subjectKnowledge base
dc.subjectWaste data
dc.subjectWaste generation prediction
dc.subjectRecycling
dc.subjectWaste management
dc.subjectUN SDG
dc.subjectRenewable Energy, Sustainability and the Environment
dc.subjectBuilding and Construction
dc.subjectGeneral Environmental Science
dc.subjectStrategy and Management
dc.subjectIndustrial and Manufacturing Engineering
dc.subjectSDG 11 - Sustainable Cities and Communities
dc.subjectSDG 12 - Responsible Consumption and Production
dc.subjectSDG 13 - Climate Action
dc.subjectSDG 8 - Decent Work and Economic Growth
dc.titleGlobal knowledge base for municipal solid waste managementen
dc.title.subtitleFramework development and application in waste generation predictionen
dc.typejournal article
degois.publication.firstPage1
degois.publication.issueDecember
degois.publication.lastPage11
degois.publication.titleJournal of Cleaner Production
degois.publication.volume377
dspace.entity.typePublication
rcaap.rightsopenAccess

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