Sustainability measurement at logistics transportation company

Detalhes bibliográficos
Autor(a) principal: Pereira, Fábio Cordeiro
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/26697
Resumo: The concern for reducing CO2 emissions has been growing exponentially. Companies have been developing mechanisms and metrics that allow the generalized reduction of their carbon footprint, through the renewal of energy sources, and development of more energy efficient activities. Our study has two main objectives. The first is to develop a model to calculate the carbon footprint of a transport company operating in the Iberian Peninsula, based on the calculation methodologies provided by the Lean&Green program, which are governed by the ISO14064 and EN16258 protocols. The second objective is to identify characteristics, patterns and factors that influence carbon emissions and therefore contribute to the calculation of the carbon footprint. Thus, for this research work we identified indicators associated with the activity developed by the logistics company. We implemented an approach to measure CO2 emissions to verify the assumed reduction goal of at least 20% over a period of 5 years compared to the CO2 emissions emitted in 2017. In the work processes, the CRIPS-DM methodology was followed, with data collected through an API made available by the company for the first half of 2022. As a result of the visualization techniques adopted and consequent analyses developed, we identified the main factors that contribute to the calculation of the carbon footprint. We developed a carbon footprint calculation model and a set of management metrics in order to monitor CO2 emissions.
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spelling Sustainability measurement at logistics transportation companyCarbon footprintLogistic transportationSustentabilidade -- SustainabilityStandardsPegada de carbonoTransporte logísticoNormasThe concern for reducing CO2 emissions has been growing exponentially. Companies have been developing mechanisms and metrics that allow the generalized reduction of their carbon footprint, through the renewal of energy sources, and development of more energy efficient activities. Our study has two main objectives. The first is to develop a model to calculate the carbon footprint of a transport company operating in the Iberian Peninsula, based on the calculation methodologies provided by the Lean&Green program, which are governed by the ISO14064 and EN16258 protocols. The second objective is to identify characteristics, patterns and factors that influence carbon emissions and therefore contribute to the calculation of the carbon footprint. Thus, for this research work we identified indicators associated with the activity developed by the logistics company. We implemented an approach to measure CO2 emissions to verify the assumed reduction goal of at least 20% over a period of 5 years compared to the CO2 emissions emitted in 2017. In the work processes, the CRIPS-DM methodology was followed, with data collected through an API made available by the company for the first half of 2022. As a result of the visualization techniques adopted and consequent analyses developed, we identified the main factors that contribute to the calculation of the carbon footprint. We developed a carbon footprint calculation model and a set of management metrics in order to monitor CO2 emissions.A preocupação generalizada pela redução de emissões de CO2 tem vindo a crescer de forma exponencial. As empresas têm vindo a desenvolver mecanismos e métricas que permitam a redução generalizada da sua pegada carbónica, através de renovação de fontes de energia, e desenvolvimento de atividades energeticamente mais eficientes. O nosso estudo tem dois objetivos principais. O primeiro passa pelo desenvolvimento de um modelo para cálculo da pegada de carbono de uma empresa de transportes a operar na península ibérica, tendo por base as metodologias de cálculo previstas no programa Lean&Green, as quais se regem pelos protocolos ISO14064 e EN16258. O segundo objetivo consiste na identificação de caraterísticas, padrões e fatores que influenciem a emissão de carbono e consequentemente contribuam para a o cálculo da pegada de carbono. Desta forma, para este trabalho de investigação identificámos indicadores associados à atividade desenvolvida pela empresa de logística. Implementámos uma abordagem de medição das emissões de CO2 para verificar o objetivo de redução assumido de pelo menos 20% durante um período de 5 anos face às emissões de CO2 emitidas no ano de 2017. Nos processos de trabalho foi seguida a metodologia CRIPS-DM, tendo sido os dados recolhidos através de uma API disponibilizada pela empresa para o primeiro semestre de 2022. Decorrente das técnicas de visualização adotadas e consequente análises desenvolvidas, identificámos os principais fatores que contribuem para o cálculo da pegada de carbono. Desenvolvemos um modelo de cálculo da pegada de carbono e um conjunto de métricas de gestão por forma a monitorizar as emissões de CO2.2022-12-20T11:22:17Z2022-11-29T00:00:00Z2022-11-292022-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/26697TID:203122054engPereira, Fábio Cordeiroinfo: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:RCAAP2023-11-09T17:39:07Zoai:repositorio.iscte-iul.pt:10071/26697Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:17:57.941355Repositório 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 Sustainability measurement at logistics transportation company
title Sustainability measurement at logistics transportation company
spellingShingle Sustainability measurement at logistics transportation company
Pereira, Fábio Cordeiro
Carbon footprint
Logistic transportation
Sustentabilidade -- Sustainability
Standards
Pegada de carbono
Transporte logístico
Normas
title_short Sustainability measurement at logistics transportation company
title_full Sustainability measurement at logistics transportation company
title_fullStr Sustainability measurement at logistics transportation company
title_full_unstemmed Sustainability measurement at logistics transportation company
title_sort Sustainability measurement at logistics transportation company
author Pereira, Fábio Cordeiro
author_facet Pereira, Fábio Cordeiro
author_role author
dc.contributor.author.fl_str_mv Pereira, Fábio Cordeiro
dc.subject.por.fl_str_mv Carbon footprint
Logistic transportation
Sustentabilidade -- Sustainability
Standards
Pegada de carbono
Transporte logístico
Normas
topic Carbon footprint
Logistic transportation
Sustentabilidade -- Sustainability
Standards
Pegada de carbono
Transporte logístico
Normas
description The concern for reducing CO2 emissions has been growing exponentially. Companies have been developing mechanisms and metrics that allow the generalized reduction of their carbon footprint, through the renewal of energy sources, and development of more energy efficient activities. Our study has two main objectives. The first is to develop a model to calculate the carbon footprint of a transport company operating in the Iberian Peninsula, based on the calculation methodologies provided by the Lean&Green program, which are governed by the ISO14064 and EN16258 protocols. The second objective is to identify characteristics, patterns and factors that influence carbon emissions and therefore contribute to the calculation of the carbon footprint. Thus, for this research work we identified indicators associated with the activity developed by the logistics company. We implemented an approach to measure CO2 emissions to verify the assumed reduction goal of at least 20% over a period of 5 years compared to the CO2 emissions emitted in 2017. In the work processes, the CRIPS-DM methodology was followed, with data collected through an API made available by the company for the first half of 2022. As a result of the visualization techniques adopted and consequent analyses developed, we identified the main factors that contribute to the calculation of the carbon footprint. We developed a carbon footprint calculation model and a set of management metrics in order to monitor CO2 emissions.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-20T11:22:17Z
2022-11-29T00:00:00Z
2022-11-29
2022-10
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/26697
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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)
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