Spatial data integration from heterogeneous sources for urban computing
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Tese |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFMG |
Texto Completo: | http://hdl.handle.net/1843/56389 http://orcid.org/0000-0002-4783-8383 |
Resumo: | Global urbanization is creating increasingly populous cities, and their services must become more efficient. Public transport is one of those essential services that directly affect the quality of living among the population. Today, various government and transportation agencies generate large volumes of data. At the same time, users of social networks, using smartphones, can enrich official sources with a range of information, from objective data to personal opinions and sentiments. There is an essential challenge in integrating such diverse and heterogeneous data sources. This work aims to propose, develop, and validate methods and techniques for integrating multiple heterogeneous urban data sources within the conceptual framework of Urban Computing. The methods developed were used in a case study to build a multimodal transportation network for Belo Horizonte. To test the results, a set of routes were determined using the multimodal transport network created and Google Maps, obtaining results close to time and distance. A case study was created to determine the urban quality of life indexes from integrated data from different sources to demonstrate the possibility of using the multimodal transport network. The data model and methods developed in this work can be used to obtain relevant information about the city and to subsidize analysis and decision-making in the various disciplines that deal with urban problems. |
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Clodoveu Augusto Davis Juniorhttp://lattes.cnpq.br/0471595469074043Ana Paula Couto da SilvaJosé Alberto QuintanilhaMariana Abrantes GiannottiCristina Dutra de AguiarAnisio Mendes Lacerdahttp://lattes.cnpq.br/4642453166241929Rodrigo Smarzaro da Silva2023-07-17T16:46:18Z2023-07-17T16:46:18Z2023-04-26http://hdl.handle.net/1843/56389http://orcid.org/0000-0002-4783-8383Global urbanization is creating increasingly populous cities, and their services must become more efficient. Public transport is one of those essential services that directly affect the quality of living among the population. Today, various government and transportation agencies generate large volumes of data. At the same time, users of social networks, using smartphones, can enrich official sources with a range of information, from objective data to personal opinions and sentiments. There is an essential challenge in integrating such diverse and heterogeneous data sources. This work aims to propose, develop, and validate methods and techniques for integrating multiple heterogeneous urban data sources within the conceptual framework of Urban Computing. The methods developed were used in a case study to build a multimodal transportation network for Belo Horizonte. To test the results, a set of routes were determined using the multimodal transport network created and Google Maps, obtaining results close to time and distance. A case study was created to determine the urban quality of life indexes from integrated data from different sources to demonstrate the possibility of using the multimodal transport network. The data model and methods developed in this work can be used to obtain relevant information about the city and to subsidize analysis and decision-making in the various disciplines that deal with urban problems.A urbanização global tem resultado em cidades cada vez mais populosas, aumentando a necessidade de prestação eficiente de serviços essenciais que afetam diretamente a qualidade de vida da população. Entre esses serviços, destaca-se o transporte público. Órgãos governamentais coletam grandes volumes de dados assim como usuários de redes sociais, por meio de seus smartphones, podem complementar essas fontes oficiais com uma gama de informações que vão desde dados objetivos até opiniões e sentimentos pessoais. Entretanto, a integração de fontes tão diversas e heterogêneas apresenta desafios significativos. Este trabalho tem como objetivo propor, desenvolver e validar métodos e técnicas para integrar múltiplas fontes de dados urbanos heterogêneos dentro da estrutura conceitual da Computação Urbana. Para tanto, os métodos desenvolvidos foram aplicados em um estudo de caso que consistiu na construção de uma rede multimodal de transporte para Belo Horizonte. Para validar os resultados, um conjunto de rotas foi determinado comparando a rede de transporte multimodal e o Google Maps, obtendo-se resultados próximos em termos de tempo e distância. Além disso, foi criado um estudo de caso para determinar um índice de qualidade de vida urbana a partir de dados integrados de diferentes fontes, o que demonstrou a possibilidade de utilização da rede de transporte multimodal. Os modelos de dados e os métodos desenvolvidos neste trabalho podem ser utilizados para obter informações relevantes sobre a cidade e subsidiar a análise e tomada de decisões em diversas disciplinas que lidam com problemas urbanos.engUniversidade Federal de Minas GeraisPrograma de Pós-Graduação em Ciência da ComputaçãoUFMGBrasilICEX - INSTITUTO DE CIÊNCIAS EXATASComputação – TesesIntegração de dados espaciais – TesesComputação urbana. – Teses.Spatial data integrationUrban computingSpatial data integration from heterogeneous sources for urban computingIntegração de dados espaciais de fontes heterogêneas para computação urbanainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGORIGINAL2023-04-26 - Tese_Smarzaro.pdf2023-04-26 - Tese_Smarzaro.pdfapplication/pdf17566783https://repositorio.ufmg.br/bitstream/1843/56389/1/2023-04-26%20-%20Tese_Smarzaro.pdfeea95f9d22593b9391461c1d82757840MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-82118https://repositorio.ufmg.br/bitstream/1843/56389/2/license.txtcda590c95a0b51b4d15f60c9642ca272MD521843/563892023-07-17 13:46:19.095oai:repositorio.ufmg.br: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ório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2023-07-17T16:46:19Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.pt_BR.fl_str_mv |
Spatial data integration from heterogeneous sources for urban computing |
dc.title.alternative.pt_BR.fl_str_mv |
Integração de dados espaciais de fontes heterogêneas para computação urbana |
title |
Spatial data integration from heterogeneous sources for urban computing |
spellingShingle |
Spatial data integration from heterogeneous sources for urban computing Rodrigo Smarzaro da Silva Spatial data integration Urban computing Computação – Teses Integração de dados espaciais – Teses Computação urbana. – Teses. |
title_short |
Spatial data integration from heterogeneous sources for urban computing |
title_full |
Spatial data integration from heterogeneous sources for urban computing |
title_fullStr |
Spatial data integration from heterogeneous sources for urban computing |
title_full_unstemmed |
Spatial data integration from heterogeneous sources for urban computing |
title_sort |
Spatial data integration from heterogeneous sources for urban computing |
author |
Rodrigo Smarzaro da Silva |
author_facet |
Rodrigo Smarzaro da Silva |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Clodoveu Augusto Davis Junior |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/0471595469074043 |
dc.contributor.referee1.fl_str_mv |
Ana Paula Couto da Silva |
dc.contributor.referee2.fl_str_mv |
José Alberto Quintanilha |
dc.contributor.referee3.fl_str_mv |
Mariana Abrantes Giannotti |
dc.contributor.referee4.fl_str_mv |
Cristina Dutra de Aguiar |
dc.contributor.referee5.fl_str_mv |
Anisio Mendes Lacerda |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/4642453166241929 |
dc.contributor.author.fl_str_mv |
Rodrigo Smarzaro da Silva |
contributor_str_mv |
Clodoveu Augusto Davis Junior Ana Paula Couto da Silva José Alberto Quintanilha Mariana Abrantes Giannotti Cristina Dutra de Aguiar Anisio Mendes Lacerda |
dc.subject.por.fl_str_mv |
Spatial data integration Urban computing |
topic |
Spatial data integration Urban computing Computação – Teses Integração de dados espaciais – Teses Computação urbana. – Teses. |
dc.subject.other.pt_BR.fl_str_mv |
Computação – Teses Integração de dados espaciais – Teses Computação urbana. – Teses. |
description |
Global urbanization is creating increasingly populous cities, and their services must become more efficient. Public transport is one of those essential services that directly affect the quality of living among the population. Today, various government and transportation agencies generate large volumes of data. At the same time, users of social networks, using smartphones, can enrich official sources with a range of information, from objective data to personal opinions and sentiments. There is an essential challenge in integrating such diverse and heterogeneous data sources. This work aims to propose, develop, and validate methods and techniques for integrating multiple heterogeneous urban data sources within the conceptual framework of Urban Computing. The methods developed were used in a case study to build a multimodal transportation network for Belo Horizonte. To test the results, a set of routes were determined using the multimodal transport network created and Google Maps, obtaining results close to time and distance. A case study was created to determine the urban quality of life indexes from integrated data from different sources to demonstrate the possibility of using the multimodal transport network. The data model and methods developed in this work can be used to obtain relevant information about the city and to subsidize analysis and decision-making in the various disciplines that deal with urban problems. |
publishDate |
2023 |
dc.date.accessioned.fl_str_mv |
2023-07-17T16:46:18Z |
dc.date.available.fl_str_mv |
2023-07-17T16:46:18Z |
dc.date.issued.fl_str_mv |
2023-04-26 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1843/56389 |
dc.identifier.orcid.pt_BR.fl_str_mv |
http://orcid.org/0000-0002-4783-8383 |
url |
http://hdl.handle.net/1843/56389 http://orcid.org/0000-0002-4783-8383 |
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.publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação em Ciência da Computação |
dc.publisher.initials.fl_str_mv |
UFMG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
ICEX - INSTITUTO DE CIÊNCIAS EXATAS |
publisher.none.fl_str_mv |
Universidade Federal de Minas Gerais |
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reponame:Repositório Institucional da UFMG instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
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UFMG |
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Repositório Institucional da UFMG |
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Repositório Institucional da UFMG |
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