Publicação
Global knowledge base for municipal solid waste management
| Resumo: | 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. |
|---|---|
| Autores principais: | He, Rui |
| Outros Autores: | Sandoval-reyes, Mexitli; Scott, Ian; Semeano, Rui; Ferrão, Paulo; Matthews, Scott; Small, Mitchell J. |
| Assunto: | 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 General Environmental Science 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 |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| _version_ | 1866752609296056320 |
|---|---|
| author | He, Rui |
| author2 | Sandoval-reyes, Mexitli Scott, Ian Semeano, Rui Ferrão, Paulo Matthews, Scott Small, Mitchell J. |
| author2_role | author author author author author author |
| author_facet | He, Rui Sandoval-reyes, Mexitli Scott, Ian Semeano, Rui Ferrão, Paulo Matthews, Scott Small, Mitchell J. |
| author_role | author |
| contributor_name_str_mv | Information Management Research Center (MagIC) - NOVA Information Management School NOVA Information Management School (NOVA IMS) Elsevier RUN |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"He, Rui\"},{\"Person.name\":\"Sandoval-reyes, Mexitli\"},{\"Person.name\":\"Scott, Ian\"},{\"Person.name\":\"Semeano, Rui\"},{\"Person.name\":\"Ferrão, Paulo\"},{\"Person.name\":\"Matthews, Scott\"},{\"Person.name\":\"Small, Mitchell J.\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Information Management Research Center (MagIC) - NOVA Information Management School NOVA Information Management School (NOVA IMS) Elsevier RUN |
| datacite.creators.creator.creatorName.fl_str_mv | He, Rui Sandoval-reyes, Mexitli Scott, Ian Semeano, Rui Ferrão, Paulo Matthews, Scott Small, Mitchell J. |
| datacite.date.Accepted.fl_str_mv | 2022-12-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2022-10-12T22:18:23Z |
| datacite.date.embargoed.fl_str_mv | 2022-10-12T22:18:23Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.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 General Environmental Science 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 |
| datacite.titles.title.fl_str_mv | Global knowledge base for municipal solid waste management Framework development and application in waste generation prediction |
| dc.contributor.none.fl_str_mv | Information Management Research Center (MagIC) - NOVA Information Management School NOVA Information Management School (NOVA IMS) Elsevier RUN |
| dc.creator.none.fl_str_mv | He, Rui Sandoval-reyes, Mexitli Scott, Ian Semeano, Rui Ferrão, Paulo Matthews, Scott Small, Mitchell J. |
| dc.date.Accepted.fl_str_mv | 2022-12-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2022-10-12T22:18:23Z |
| dc.date.embargoed.fl_str_mv | 2022-10-12T22:18:23Z |
| dc.format.none.fl_str_mv | application/pdf application/pdf application/octet-stream |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/144663 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.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 General Environmental Science 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 |
| dc.title.fl_str_mv | Global knowledge base for municipal solid waste management Framework development and application in waste generation prediction |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/7cab7607-86b6-4387-83cd-9d5dcb62703a/download |
| id | run_dbe17ebb5ffa5dcbb79d7057cc0b306a |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/144663 |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/144663 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | He, Rui Sandoval-reyes, Mexitli Scott, Ian Semeano, Rui Ferrão, Paulo Matthews, Scott Small, Mitchell J. |
| publishDate | 2022 |
| reponame_str | Repositório Institucional da UNL |
| repository_id_str | urn:repositoryAcronym:run |
| service_str_mv | urn:repositoryAcronym:run |
| spelling | engenIncreasing 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.application/pdfapplication/pdfapplication/octet-streamenGlobal knowledge base for municipal solid waste managementSubtitleenFramework development and application in waste generation predictionHe, RuiSandoval-reyes, MexitliScott, IanSemeano, RuiFerrão, PauloMatthews, ScottSmall, Mitchell J.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)ElsevierHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptISSNIsPartOf0959-6526URNIsPartOfPURE: 47068272URNIsPartOfPURE UUID: 091258b7-32bd-4b7b-ba99-5177664718b7URNIsPartOfcrossref: 10.1016/j.jclepro.2022.134501URNIsPartOfScopus: 85139594657URNIsPartOfWOS: 000875699500002URNIsPartOfORCID: /0000-0001-9699-4473/work/151417549DOIIsPartOf10.1016/j.jclepro.2022.1345012022-10-12T22:18:23Z2022-12-012022-12-01T00:00:00ZHandlehttp://hdl.handle.net/10362/144663http://purl.org/coar/access_right/c_abf2open accessMunicipal solid waste (MSW)Knowledge baseWaste dataWaste generation predictionRecyclingWaste managementUN SDGRenewable Energy, Sustainability and the EnvironmentBuilding and ConstructionGeneral Environmental ScienceStrategy and ManagementIndustrial and Manufacturing EngineeringSDG 11 - Sustainable Cities and CommunitiesSDG 12 - Responsible Consumption and ProductionSDG 13 - Climate ActionSDG 8 - Decent Work and Economic Growth996528 bytes3640136 bytes36065 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/7cab7607-86b6-4387-83cd-9d5dcb62703a/downloadhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/464a174a-e5f5-47b5-88cb-71e12993330b/downloadhttp://purl.org/coar/access_right/c_abf2application/octet-streamfulltexthttps://run.unl.pt/bitstreams/4bb0c487-1ef8-40e0-8e6e-583082a6e1b6/download |
| 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 General Environmental Science 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 |
| status | SINGLETON |
| subject.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 General Environmental Science 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 | 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_short | Global knowledge base for municipal solid waste management |
| title_sort | Global knowledge base for municipal solid waste management |
| 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 General Environmental Science 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_facet | 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 General Environmental Science 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 |
| url | http://hdl.handle.net/10362/144663 |
| visible | 1 |