Contributions towards smart cities : exploring block level census data for the characterization of change in Lisbon

Detalhes bibliográficos
Autor(a) principal: Antunes, Jorge Manuel Alves
Data de Publicação: 2016
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/17446
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
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spelling Contributions towards smart cities : exploring block level census data for the characterization of change in LisbonData miningSelf-Organizing MapSmart CityGeo-SOMClusteringGeographic Information ScienceCensusDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementThe interest in using information to improve the quality of living in large urban areas and its governance efficiency has been around for decades. Nevertheless, the improvements in Information and Communications Technology has sparked a new dynamic in academic research, usually under the umbrella term of Smart Cities. This concept of Smart City can probably be translated, in a simplified version, into cities that are lived, managed and developed in an information-saturated environment. While it makes perfect sense and we can easily foresee the benefits of such a concept, presently there are still several significant challenges that need to be tackled before we can materialize this vision. In this work we aim at providing a small contribution in this direction, which maximizes the relevancy of the available information resources. One of the most detailed and geographically relevant information resource available, for the study of cities, is the census, more specifically the data available at block level (Subsecção Estatística). In this work, we use Self-Organizing Maps (SOM) and the variant Geo-SOM to explore the block level data from the Portuguese census of Lisbon city, for the years of 2001 and 2011. We focus on gauging change, proposing ways that allow the comparison of the two time periods, which have two different underlying geographical bases. We proceed with the analysis of the data using different SOM variants, aiming at producing a two-fold portrait: one, of the evolution of Lisbon during the first decade of the XXI century, another, of how the census dataset and SOM’s can be used to produce an informational framework for the study of cities.Bação, Fernando José Ferreira LucasHenriques, Roberto André PereiraRUNAntunes, Jorge Manuel Alves2016-05-23T16:53:41Z2016-03-072016-03-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/17446TID:201111942enginfo: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:RCAAP2024-03-11T03:55:23Zoai:run.unl.pt:10362/17446Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:23:58.791661Repositório 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 Contributions towards smart cities : exploring block level census data for the characterization of change in Lisbon
title Contributions towards smart cities : exploring block level census data for the characterization of change in Lisbon
spellingShingle Contributions towards smart cities : exploring block level census data for the characterization of change in Lisbon
Antunes, Jorge Manuel Alves
Data mining
Self-Organizing Map
Smart City
Geo-SOM
Clustering
Geographic Information Science
Census
title_short Contributions towards smart cities : exploring block level census data for the characterization of change in Lisbon
title_full Contributions towards smart cities : exploring block level census data for the characterization of change in Lisbon
title_fullStr Contributions towards smart cities : exploring block level census data for the characterization of change in Lisbon
title_full_unstemmed Contributions towards smart cities : exploring block level census data for the characterization of change in Lisbon
title_sort Contributions towards smart cities : exploring block level census data for the characterization of change in Lisbon
author Antunes, Jorge Manuel Alves
author_facet Antunes, Jorge Manuel Alves
author_role author
dc.contributor.none.fl_str_mv Bação, Fernando José Ferreira Lucas
Henriques, Roberto André Pereira
RUN
dc.contributor.author.fl_str_mv Antunes, Jorge Manuel Alves
dc.subject.por.fl_str_mv Data mining
Self-Organizing Map
Smart City
Geo-SOM
Clustering
Geographic Information Science
Census
topic Data mining
Self-Organizing Map
Smart City
Geo-SOM
Clustering
Geographic Information Science
Census
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
publishDate 2016
dc.date.none.fl_str_mv 2016-05-23T16:53:41Z
2016-03-07
2016-03-07T00:00:00Z
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/10362/17446
TID:201111942
url http://hdl.handle.net/10362/17446
identifier_str_mv TID:201111942
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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