Global knowledge base for municipal solid waste management

Detalhes bibliográficos
Autor(a) principal: He, Rui
Data de Publicação: 2022
Outros Autores: Sandoval-reyes, Mexitli, Scott, Ian, Semeano, Rui, Ferrão, Paulo, Matthews, Scott, Small, Mitchell J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/144663
Resumo: He, 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--- 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.
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spelling Global knowledge base for municipal solid waste managementFramework development and application in waste generation predictionMunicipal solid waste (MSW)Knowledge baseWaste dataWaste generation predictionRecyclingWaste managementUN SDGRenewable Energy, Sustainability and the EnvironmentBuilding and ConstructionEnvironmental Science(all)Strategy and ManagementIndustrial and Manufacturing EngineeringSDG 11 - Sustainable Cities and CommunitiesSDG 12 - Responsible Consumption and ProductionSDG 13 - Climate ActionSDG 8 - Decent Work and Economic GrowthHe, 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--- 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.Increasing 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.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNHe, RuiSandoval-reyes, MexitliScott, IanSemeano, RuiFerrão, PauloMatthews, ScottSmall, Mitchell J.2022-10-12T22:18:23Z2022-12-012022-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article11application/pdfapplication/pdfapplication/octet-streamhttp://hdl.handle.net/10362/144663eng0959-6526PURE: 47068272https://doi.org/10.1016/j.jclepro.2022.134501info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:24:26Zoai:run.unl.pt:10362/144663Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:51:40.942306Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Global knowledge base for municipal solid waste management
Framework development and application in waste generation prediction
title Global knowledge base for municipal solid waste management
spellingShingle Global knowledge base for municipal solid waste management
He, Rui
Municipal solid waste (MSW)
Knowledge base
Waste data
Waste generation prediction
Recycling
Waste management
UN SDG
Renewable Energy, Sustainability and the Environment
Building and Construction
Environmental Science(all)
Strategy and Management
Industrial and Manufacturing Engineering
SDG 11 - Sustainable Cities and Communities
SDG 12 - Responsible Consumption and Production
SDG 13 - Climate Action
SDG 8 - Decent Work and Economic Growth
title_short Global knowledge base for municipal solid waste management
title_full Global knowledge base for municipal solid waste management
title_fullStr Global knowledge base for municipal solid waste management
title_full_unstemmed Global knowledge base for municipal solid waste management
title_sort Global knowledge base for municipal solid waste management
author He, Rui
author_facet He, Rui
Sandoval-reyes, Mexitli
Scott, Ian
Semeano, Rui
Ferrão, Paulo
Matthews, Scott
Small, Mitchell J.
author_role author
author2 Sandoval-reyes, Mexitli
Scott, Ian
Semeano, Rui
Ferrão, Paulo
Matthews, Scott
Small, Mitchell J.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv He, Rui
Sandoval-reyes, Mexitli
Scott, Ian
Semeano, Rui
Ferrão, Paulo
Matthews, Scott
Small, Mitchell J.
dc.subject.por.fl_str_mv Municipal solid waste (MSW)
Knowledge base
Waste data
Waste generation prediction
Recycling
Waste management
UN SDG
Renewable Energy, Sustainability and the Environment
Building and Construction
Environmental Science(all)
Strategy and Management
Industrial and Manufacturing Engineering
SDG 11 - Sustainable Cities and Communities
SDG 12 - Responsible Consumption and Production
SDG 13 - Climate Action
SDG 8 - Decent Work and Economic Growth
topic Municipal solid waste (MSW)
Knowledge base
Waste data
Waste generation prediction
Recycling
Waste management
UN SDG
Renewable Energy, Sustainability and the Environment
Building and Construction
Environmental Science(all)
Strategy and Management
Industrial and Manufacturing Engineering
SDG 11 - Sustainable Cities and Communities
SDG 12 - Responsible Consumption and Production
SDG 13 - Climate Action
SDG 8 - Decent Work and Economic Growth
description He, 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--- 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-10-12T22:18:23Z
2022-12-01
2022-12-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/144663
url http://hdl.handle.net/10362/144663
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0959-6526
PURE: 47068272
https://doi.org/10.1016/j.jclepro.2022.134501
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 11
application/pdf
application/pdf
application/octet-stream
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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