Prioriority actions maps of municipal public services with geospace application
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta scientiarum. Technology (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/44426 |
Resumo: | Public services management is a fundamental role to public institutions, providing society with proper resources for a better quality of life. Local characteristics should be considered during public policies planning; however, generalizations are adopted to elaborate studies, overlooking these characteristics. Our objective was to apply a geostatistical analysis into the public services of Campo Mourão, Paraná State. The number of residents per census tracts lacking in water supply, sewage collection, waste collection, street lighting, electricity, and paving was found based on 2010 Census data. The spatial distribution of these data with the software ArcGIS 9.3 enabled the examination of these characteristics via the Cluster and Outlier method, through the Anselin Local Moran's I spatial analysis module, that identified hotspots and coldspots. As a result, it was found that Campo Mourão is satisfactorily supplied with electricity distribution services and waste collection with only 0.5% of absence in the census tracts. The sewage collection by the general network was the most absent service with 37% absence rate. Parque Industrial I and Jardim Isabel neighborhoods stood out as the most devoid of public services. The Cluster and Outlier Analysis is a subsidy tool for policy-making, which can increase efficiency when providing these services. |
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Prioriority actions maps of municipal public services with geospace applicationpublic services; geostatistics; census; cluster; outlier.Public services management is a fundamental role to public institutions, providing society with proper resources for a better quality of life. Local characteristics should be considered during public policies planning; however, generalizations are adopted to elaborate studies, overlooking these characteristics. Our objective was to apply a geostatistical analysis into the public services of Campo Mourão, Paraná State. The number of residents per census tracts lacking in water supply, sewage collection, waste collection, street lighting, electricity, and paving was found based on 2010 Census data. The spatial distribution of these data with the software ArcGIS 9.3 enabled the examination of these characteristics via the Cluster and Outlier method, through the Anselin Local Moran's I spatial analysis module, that identified hotspots and coldspots. As a result, it was found that Campo Mourão is satisfactorily supplied with electricity distribution services and waste collection with only 0.5% of absence in the census tracts. The sewage collection by the general network was the most absent service with 37% absence rate. Parque Industrial I and Jardim Isabel neighborhoods stood out as the most devoid of public services. The Cluster and Outlier Analysis is a subsidy tool for policy-making, which can increase efficiency when providing these services.Universidade Estadual De Maringá2019-10-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/4442610.4025/actascitechnol.v42i1.44426Acta Scientiarum. Technology; Vol 42 (2020): Publicação contínua; e44426Acta Scientiarum. Technology; v. 42 (2020): Publicação contínua; e444261806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/44426/751375148495Copyright (c) 2019 Acta Scientiarum. Technologyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessScaramelli, Bruno FernandesCouto, Edivando VitorBueno, Paulo Agenor Alves Souza, Débora Cristina deVieira, Luciane MariaFerreira, José Hilário Del Conte2020-05-05T15:19:27Zoai:periodicos.uem.br/ojs:article/44426Revistahttp://periodicos.uem.br/ojs/index.php/ActaSciTechnolPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2020-05-05T15:19:27Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Prioriority actions maps of municipal public services with geospace application |
title |
Prioriority actions maps of municipal public services with geospace application |
spellingShingle |
Prioriority actions maps of municipal public services with geospace application Scaramelli, Bruno Fernandes public services; geostatistics; census; cluster; outlier. |
title_short |
Prioriority actions maps of municipal public services with geospace application |
title_full |
Prioriority actions maps of municipal public services with geospace application |
title_fullStr |
Prioriority actions maps of municipal public services with geospace application |
title_full_unstemmed |
Prioriority actions maps of municipal public services with geospace application |
title_sort |
Prioriority actions maps of municipal public services with geospace application |
author |
Scaramelli, Bruno Fernandes |
author_facet |
Scaramelli, Bruno Fernandes Couto, Edivando Vitor Bueno, Paulo Agenor Alves Souza, Débora Cristina de Vieira, Luciane Maria Ferreira, José Hilário Del Conte |
author_role |
author |
author2 |
Couto, Edivando Vitor Bueno, Paulo Agenor Alves Souza, Débora Cristina de Vieira, Luciane Maria Ferreira, José Hilário Del Conte |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Scaramelli, Bruno Fernandes Couto, Edivando Vitor Bueno, Paulo Agenor Alves Souza, Débora Cristina de Vieira, Luciane Maria Ferreira, José Hilário Del Conte |
dc.subject.por.fl_str_mv |
public services; geostatistics; census; cluster; outlier. |
topic |
public services; geostatistics; census; cluster; outlier. |
description |
Public services management is a fundamental role to public institutions, providing society with proper resources for a better quality of life. Local characteristics should be considered during public policies planning; however, generalizations are adopted to elaborate studies, overlooking these characteristics. Our objective was to apply a geostatistical analysis into the public services of Campo Mourão, Paraná State. The number of residents per census tracts lacking in water supply, sewage collection, waste collection, street lighting, electricity, and paving was found based on 2010 Census data. The spatial distribution of these data with the software ArcGIS 9.3 enabled the examination of these characteristics via the Cluster and Outlier method, through the Anselin Local Moran's I spatial analysis module, that identified hotspots and coldspots. As a result, it was found that Campo Mourão is satisfactorily supplied with electricity distribution services and waste collection with only 0.5% of absence in the census tracts. The sewage collection by the general network was the most absent service with 37% absence rate. Parque Industrial I and Jardim Isabel neighborhoods stood out as the most devoid of public services. The Cluster and Outlier Analysis is a subsidy tool for policy-making, which can increase efficiency when providing these services. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-03 |
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 |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/44426 10.4025/actascitechnol.v42i1.44426 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/44426 |
identifier_str_mv |
10.4025/actascitechnol.v42i1.44426 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/44426/751375148495 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Acta Scientiarum. Technology https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Acta Scientiarum. Technology 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 |
Universidade Estadual De Maringá |
publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Technology; Vol 42 (2020): Publicação contínua; e44426 Acta Scientiarum. Technology; v. 42 (2020): Publicação contínua; e44426 1806-2563 1807-8664 reponame:Acta scientiarum. Technology (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta scientiarum. Technology (Online) |
collection |
Acta scientiarum. Technology (Online) |
repository.name.fl_str_mv |
Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
||actatech@uem.br |
_version_ |
1750315284329136128 |