Waste production profiling using socioeconomic factors: A case study of Lisbon

Detalhes bibliográficos
Autor(a) principal: Dias, Marta Marinho Amarante Malta
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/150902
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling Waste production profiling using socioeconomic factors: A case study of LisbonMunicipal Waste ManagementSocioeconomicWaste GenerationWaste CollectionClusteringDynamic Time WarpingSDG 11 - Sustainable cities and communitiesDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceUrban Waste Management is a public service provided by municipalities, managed by both private and public companies. Ensuring good waste management in municipalities provides the quality of waste collection service, meeting environmental targets and offering clean, healthy, and safe cities. Municipal waste management is already a topic of concern in recent decades in Portugal. From the literature analysed, there is ample evidence about the legislation and policies implemented to achieve better waste management and increase recycling to promote the country's sustainable development. This study aims to classify the socioeconomic profile of producers of various types of waste in Lisbon, the capital of Portugal. That is, to find the characteristics of the different groups of people who produce waste, and the variables that can better describe these groups, to understand whether their social and economic characteristics impact the amount of waste produced. The methodology to be implemented to develop the study is the application of clustering techniques to identify the characteristics of the groups of people who produce waste in the city of Lisbon. It is expected to use clustering techniques, such as k-means and Dynamic Time Warping. Was concluded that in mixed waste, people over 65 years of age, with a low level of education and whose income is also low, are the ones who produce the most waste, followed by the youngest between 0 and 24 years of age, with a high level of education and with better incomes. As for recycled waste, was concluded, in general, that residents with a higher level of education and better incomes produce more recycled waste, unlike those with less education level and lower incomes that produce less.Neto, Miguel de Castro Simões FerreiraSarmento, Pedro Alexandre ReisRUNDias, Marta Marinho Amarante Malta2023-03-20T16:19:15Z2023-01-272023-01-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/150902TID:203250400enginfo: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:RCAAP2024-03-11T05:33:19Zoai:run.unl.pt:10362/150902Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:54:21.620151Repositório 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 Waste production profiling using socioeconomic factors: A case study of Lisbon
title Waste production profiling using socioeconomic factors: A case study of Lisbon
spellingShingle Waste production profiling using socioeconomic factors: A case study of Lisbon
Dias, Marta Marinho Amarante Malta
Municipal Waste Management
Socioeconomic
Waste Generation
Waste Collection
Clustering
Dynamic Time Warping
SDG 11 - Sustainable cities and communities
title_short Waste production profiling using socioeconomic factors: A case study of Lisbon
title_full Waste production profiling using socioeconomic factors: A case study of Lisbon
title_fullStr Waste production profiling using socioeconomic factors: A case study of Lisbon
title_full_unstemmed Waste production profiling using socioeconomic factors: A case study of Lisbon
title_sort Waste production profiling using socioeconomic factors: A case study of Lisbon
author Dias, Marta Marinho Amarante Malta
author_facet Dias, Marta Marinho Amarante Malta
author_role author
dc.contributor.none.fl_str_mv Neto, Miguel de Castro Simões Ferreira
Sarmento, Pedro Alexandre Reis
RUN
dc.contributor.author.fl_str_mv Dias, Marta Marinho Amarante Malta
dc.subject.por.fl_str_mv Municipal Waste Management
Socioeconomic
Waste Generation
Waste Collection
Clustering
Dynamic Time Warping
SDG 11 - Sustainable cities and communities
topic Municipal Waste Management
Socioeconomic
Waste Generation
Waste Collection
Clustering
Dynamic Time Warping
SDG 11 - Sustainable cities and communities
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2023
dc.date.none.fl_str_mv 2023-03-20T16:19:15Z
2023-01-27
2023-01-27T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/150902
TID:203250400
url http://hdl.handle.net/10362/150902
identifier_str_mv TID:203250400
dc.language.iso.fl_str_mv eng
language eng
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