How events impact people´s mobility? A study of Lisbon´s flow patterns
Autor(a) principal: | |
---|---|
Data de Publicação: | 2024 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/165397 |
Resumo: | Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence |
id |
RCAP_5b5e5276548f1cc99a0db8bc260601a6 |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/165397 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
How events impact people´s mobility? A study of Lisbon´s flow patternsMobilityMobility PatternsSmart CityLisbonDashboardTrafficBusiness IntelligenceSDG 11 - Sustainable cities and communitiesDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoProject Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThe study of mobility patterns is of great importance for the development of cities and to enhance citizens' quality of life. Understanding the uniqueness of urban mobility for each city and time can lead to better decision-making to make it more efficient and effective possible. Innovation and creation of technological tools have provided researchers with the opportunity to study, get better insights on mobility and develop more sustainable cities. By using terminals’ location and traffic data, this study will focus on studying how mobility behaves during event days and trying to turn Lisbon closer to be a smart city. Acknowledging that events move a great amount of people, by the development of dashboards, this study strives to get useful mobility patterns that can help Lisbon to be better prepared to receive events. Design Science Research Process Model was followed to understand the best way of organizing and structuring this study and to address the objective the best way possible. The data used had to be thoroughly studied, treated and modeled so that it could make visuals full of pertinent content and answer the research questions. The development of dashboards made it plausible to conclude some important points. Rainy days on event days will lead to more traffic congestion on parishes that receive events. Working days with events will lead to a higher density of people in Lisbon central zones and more traffic congestion during the end of the day. Scholar holidays will affect mobility, showing that student’s mobility has an impact on Lisbon’s mobility patterns. Therefore, days with events will influence mobility and traffic in Lisbon.Neto, Miguel de Castro Simões FerreiraJardim, João Bruno Morais de SousaRUNEmpis, Duarte Maria Bonnet Marques Patrício2024-03-25T16:27:17Z2024-02-072024-02-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/165397TID:203553624enginfo: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:RCAAP2024-05-22T18:19:55Zoai:run.unl.pt:10362/165397Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T18:19:55Repositório 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 |
How events impact people´s mobility? A study of Lisbon´s flow patterns |
title |
How events impact people´s mobility? A study of Lisbon´s flow patterns |
spellingShingle |
How events impact people´s mobility? A study of Lisbon´s flow patterns Empis, Duarte Maria Bonnet Marques Patrício Mobility Mobility Patterns Smart City Lisbon Dashboard Traffic Business Intelligence SDG 11 - Sustainable cities and communities Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
title_short |
How events impact people´s mobility? A study of Lisbon´s flow patterns |
title_full |
How events impact people´s mobility? A study of Lisbon´s flow patterns |
title_fullStr |
How events impact people´s mobility? A study of Lisbon´s flow patterns |
title_full_unstemmed |
How events impact people´s mobility? A study of Lisbon´s flow patterns |
title_sort |
How events impact people´s mobility? A study of Lisbon´s flow patterns |
author |
Empis, Duarte Maria Bonnet Marques Patrício |
author_facet |
Empis, Duarte Maria Bonnet Marques Patrício |
author_role |
author |
dc.contributor.none.fl_str_mv |
Neto, Miguel de Castro Simões Ferreira Jardim, João Bruno Morais de Sousa RUN |
dc.contributor.author.fl_str_mv |
Empis, Duarte Maria Bonnet Marques Patrício |
dc.subject.por.fl_str_mv |
Mobility Mobility Patterns Smart City Lisbon Dashboard Traffic Business Intelligence SDG 11 - Sustainable cities and communities Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
topic |
Mobility Mobility Patterns Smart City Lisbon Dashboard Traffic Business Intelligence SDG 11 - Sustainable cities and communities Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
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 |
2024 |
dc.date.none.fl_str_mv |
2024-03-25T16:27:17Z 2024-02-07 2024-02-07T00:00:00Z |
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/10362/165397 TID:203553624 |
url |
http://hdl.handle.net/10362/165397 |
identifier_str_mv |
TID:203553624 |
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 |
mluisa.alvim@gmail.com |
_version_ |
1817545998700904448 |