Linear programming applied to urban mobility: analysis of the path from the residence to the school of university students
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista ENIAC pesquisa |
DOI: | 10.22567/rep.v8i2.581 |
Texto Completo: | https://ojs.eniac.com.br/index.php/EniacPesquisa/article/view/581 |
Resumo: | The growing demographic increase has amplified the managerial need for passenger transportation in some Brazilian regions, in the case of the Southeast region, more precisely the metropolitan region of Greater São Paulo. Thus, the metropolises suffered from traffic problems, transporting passengers in crowded vehicles, generating direct reflexes in urban mobility. The present study had as objective to apply the linear programming for the analysis of the route of the residence to the school of university students, in the analysis of the origin and destinies. The methodology used was the descriptive research, through the data collection of travel and transport modalities of 50 students. A linear programming model was developed that considered three variables of decision, public transport, private car and transport by application. The results showed that the private car was the best choice, followed by transportation by application and public transportation. |
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Revista ENIAC pesquisa |
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Linear programming applied to urban mobility: analysis of the path from the residence to the school of university studentsProgramação linear aplicada à mobilidade urbana: análise do trajeto da residência à escola de estudantes universitárioslinear programmingurban mobilityoperational researchpassenger transportprogramação linearmobilidade urbanapesquisa operacionaltransporte de passageirosThe growing demographic increase has amplified the managerial need for passenger transportation in some Brazilian regions, in the case of the Southeast region, more precisely the metropolitan region of Greater São Paulo. Thus, the metropolises suffered from traffic problems, transporting passengers in crowded vehicles, generating direct reflexes in urban mobility. The present study had as objective to apply the linear programming for the analysis of the route of the residence to the school of university students, in the analysis of the origin and destinies. The methodology used was the descriptive research, through the data collection of travel and transport modalities of 50 students. A linear programming model was developed that considered three variables of decision, public transport, private car and transport by application. The results showed that the private car was the best choice, followed by transportation by application and public transportation.O crescente aumento demográfico aumentou a necessidade gerencial do transporte de passageiros em algumas regiões brasileiras, caso que ocorre na região Sudeste, mais precisamente a região metropolitana da grande São Paulo. Assim, as metrópoles passaram a sofrer com problemas no trânsito, transportando passageiros em veículos lotados gerando reflexos diretos na mobilidade urbana. O presente estudo teve como objetivo aplicar a programação linear para análise do trajeto da residência à escola de estudantes universitários na análise da origem e destinos. A metodologia utilizada foi a pesquisa descritiva através da coleta de dados de trajeto e modalidades de transporte de 19 estudantes. Foi desenvolvido um modelo de programação linear que considerou três variáveis de decisão, transporte público, automóvel particular e transporte por aplicativo. Os resultados demonstraram ser o automóvel particular a melhor opção de escolha, seguido do transporte por aplicativo e transporte público.Centro Universitário ENIAC2019-07-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.eniac.com.br/index.php/EniacPesquisa/article/view/58110.22567/rep.v8i2.581Revista Eniac Pesquisa; Vol. 8 No. 2 (2019); 280-297REVISTA ENIAC PESQUISA; Vol. 8 Núm. 2 (2019); 280-297REVISTA ENIAC PESQUISA; v. 8 n. 2 (2019); 280-2972316-234110.22567/rep.v8i2reponame:Revista ENIAC pesquisainstname:Centro Universitário Eniacinstacron:ENIACporhttps://ojs.eniac.com.br/index.php/EniacPesquisa/article/view/581/pdfCopyright (c) 2019 REVISTA ENIAC PESQUISAhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessGomes, JonatasMariz, Ed CarlosSilva, Adriano Maniçoba daKawamoto Júnior, Luiz Teruo2024-07-09T18:47:53Zoai:ojs.pkp.sfu.ca:article/581Revistahttps://ojs.eniac.com.br/index.php/EniacPesquisaPRIhttp://ojs.eniac.com.br/index.php/EniacPesquisa/oai||revistaeniacpesquisa@fernandoasantos.com.br2316-23412316-2341opendoar:2024-07-09T18:47:53Revista ENIAC pesquisa - Centro Universitário Eniacfalse |
dc.title.none.fl_str_mv |
Linear programming applied to urban mobility: analysis of the path from the residence to the school of university students Programação linear aplicada à mobilidade urbana: análise do trajeto da residência à escola de estudantes universitários |
title |
Linear programming applied to urban mobility: analysis of the path from the residence to the school of university students |
spellingShingle |
Linear programming applied to urban mobility: analysis of the path from the residence to the school of university students Linear programming applied to urban mobility: analysis of the path from the residence to the school of university students Gomes, Jonatas linear programming urban mobility operational research passenger transport programação linear mobilidade urbana pesquisa operacional transporte de passageiros Gomes, Jonatas linear programming urban mobility operational research passenger transport programação linear mobilidade urbana pesquisa operacional transporte de passageiros |
title_short |
Linear programming applied to urban mobility: analysis of the path from the residence to the school of university students |
title_full |
Linear programming applied to urban mobility: analysis of the path from the residence to the school of university students |
title_fullStr |
Linear programming applied to urban mobility: analysis of the path from the residence to the school of university students Linear programming applied to urban mobility: analysis of the path from the residence to the school of university students |
title_full_unstemmed |
Linear programming applied to urban mobility: analysis of the path from the residence to the school of university students Linear programming applied to urban mobility: analysis of the path from the residence to the school of university students |
title_sort |
Linear programming applied to urban mobility: analysis of the path from the residence to the school of university students |
author |
Gomes, Jonatas |
author_facet |
Gomes, Jonatas Gomes, Jonatas Mariz, Ed Carlos Silva, Adriano Maniçoba da Kawamoto Júnior, Luiz Teruo Mariz, Ed Carlos Silva, Adriano Maniçoba da Kawamoto Júnior, Luiz Teruo |
author_role |
author |
author2 |
Mariz, Ed Carlos Silva, Adriano Maniçoba da Kawamoto Júnior, Luiz Teruo |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Gomes, Jonatas Mariz, Ed Carlos Silva, Adriano Maniçoba da Kawamoto Júnior, Luiz Teruo |
dc.subject.por.fl_str_mv |
linear programming urban mobility operational research passenger transport programação linear mobilidade urbana pesquisa operacional transporte de passageiros |
topic |
linear programming urban mobility operational research passenger transport programação linear mobilidade urbana pesquisa operacional transporte de passageiros |
description |
The growing demographic increase has amplified the managerial need for passenger transportation in some Brazilian regions, in the case of the Southeast region, more precisely the metropolitan region of Greater São Paulo. Thus, the metropolises suffered from traffic problems, transporting passengers in crowded vehicles, generating direct reflexes in urban mobility. The present study had as objective to apply the linear programming for the analysis of the route of the residence to the school of university students, in the analysis of the origin and destinies. The methodology used was the descriptive research, through the data collection of travel and transport modalities of 50 students. A linear programming model was developed that considered three variables of decision, public transport, private car and transport by application. The results showed that the private car was the best choice, followed by transportation by application and public transportation. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-07-30 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ojs.eniac.com.br/index.php/EniacPesquisa/article/view/581 10.22567/rep.v8i2.581 |
url |
https://ojs.eniac.com.br/index.php/EniacPesquisa/article/view/581 |
identifier_str_mv |
10.22567/rep.v8i2.581 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://ojs.eniac.com.br/index.php/EniacPesquisa/article/view/581/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 REVISTA ENIAC PESQUISA https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 REVISTA ENIAC PESQUISA https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Centro Universitário ENIAC |
publisher.none.fl_str_mv |
Centro Universitário ENIAC |
dc.source.none.fl_str_mv |
Revista Eniac Pesquisa; Vol. 8 No. 2 (2019); 280-297 REVISTA ENIAC PESQUISA; Vol. 8 Núm. 2 (2019); 280-297 REVISTA ENIAC PESQUISA; v. 8 n. 2 (2019); 280-297 2316-2341 10.22567/rep.v8i2 reponame:Revista ENIAC pesquisa instname:Centro Universitário Eniac instacron:ENIAC |
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Centro Universitário Eniac |
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ENIAC |
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ENIAC |
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Revista ENIAC pesquisa |
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Revista ENIAC pesquisa |
repository.name.fl_str_mv |
Revista ENIAC pesquisa - Centro Universitário Eniac |
repository.mail.fl_str_mv |
||revistaeniacpesquisa@fernandoasantos.com.br |
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1822222446650982400 |
dc.identifier.doi.none.fl_str_mv |
10.22567/rep.v8i2.581 |