An exploratory analysis of pedestrian accidents patterns in Lisbon
Autor(a) principal: | |
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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/10362/134444 |
Resumo: | Project Work 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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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An exploratory analysis of pedestrian accidents patterns in LisbonPedestrian AccidentsLisbonK-MeansK-MedoidsClusterProject Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceMobility is one of the pillars of Smart Cities, being one of the most important issues for the development and growth of a city. Nowadays, with the massive flow of populations to large urban centers, mobility and its dangers require special attention. The number of pedestrian accidents has been increasing over the past few years, and it is important to understand what causes and factors contribute to them. The main objective of this work is to identify and classify the pedestrian accidents in the city of Lisbon and segment the accident patterns based on the application of clustering methods. The data used in this work was provided by Lisboa Aberta. The work begins with a literature review about the causes of pedestrian accidents previously identified and the reference of clustering methods used in similar studies. Then, a deep dive will be made of the data provided by Lisboa Aberta, selecting the most relevant variables used for the Cluster analysis. The Cluster analysis will be done using the K-Means and KMedoids methods. At the end of the work, the results of both methods will be compared, where the winning method will be chosen and the conclusions of which are the determining patterns in pedestrian accidents in the city of Lisbon will be presented.Neto, Miguel de Castro Simões FerreiraSarmento, Pedro Alexandre ReisRUNSanto, Francisco José Monteiro do Espírito2022-03-14T16:34:51Z2022-01-282022-01-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/134444TID:202962474enginfo: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:RCAAP2024-03-11T05:12:52Zoai:run.unl.pt:10362/134444Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:48:05.508847Repositório 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 |
An exploratory analysis of pedestrian accidents patterns in Lisbon |
title |
An exploratory analysis of pedestrian accidents patterns in Lisbon |
spellingShingle |
An exploratory analysis of pedestrian accidents patterns in Lisbon Santo, Francisco José Monteiro do Espírito Pedestrian Accidents Lisbon K-Means K-Medoids Cluster |
title_short |
An exploratory analysis of pedestrian accidents patterns in Lisbon |
title_full |
An exploratory analysis of pedestrian accidents patterns in Lisbon |
title_fullStr |
An exploratory analysis of pedestrian accidents patterns in Lisbon |
title_full_unstemmed |
An exploratory analysis of pedestrian accidents patterns in Lisbon |
title_sort |
An exploratory analysis of pedestrian accidents patterns in Lisbon |
author |
Santo, Francisco José Monteiro do Espírito |
author_facet |
Santo, Francisco José Monteiro do Espírito |
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 |
Santo, Francisco José Monteiro do Espírito |
dc.subject.por.fl_str_mv |
Pedestrian Accidents Lisbon K-Means K-Medoids Cluster |
topic |
Pedestrian Accidents Lisbon K-Means K-Medoids Cluster |
description |
Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-03-14T16:34:51Z 2022-01-28 2022-01-28T00:00:00Z |
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/10362/134444 TID:202962474 |
url |
http://hdl.handle.net/10362/134444 |
identifier_str_mv |
TID:202962474 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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 |
instacron_str |
RCAAP |
institution |
RCAAP |
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 |
repository.mail.fl_str_mv |
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1799138082429075456 |