Statistical modeling of quarrying activities and their impact on residents’ satisfaction
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/48068 |
Resumo: | This research aims to analyse the impact of quarrying on the health and perception of neighbouring communities. A standard questionnaire survey was conducted to collect data from quarry neighbours in a residential neighbourhood located in the city of Lavras, Minas Gerais, Brazil. Residences were distributed based on proximity to a quarrying company, resulting in three distances divided by three equally distant radii, named as Area I (closest to the quarrying company at 630 m), Area II (730 m), and Area III (farthest from the quarrying company at 830 m). Data gathered from 177 residents were analysed with logistic regression models. Results indicated significant differences between Areas I and III, and as expected, disturbances decreased as the distance from the quarrying company increased. Area III residents provided the most favourable response to quarrying activities, and the noise was the main complaint in the three areas. The number of residents who complained about noise was 91, 77, and 63% for Areas I, II, and III, respectively. The employed method can be used satisfactorily for neighbourhood impact evaluations, considering personal experiences, human perception, and seasonal effects. |
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Statistical modeling of quarrying activities and their impact on residents’ satisfactionQuarrying impactsLogistic regression modelsNeighborhood healthModelos de regressão logísticaSaúde da vizinhançaImpactos de extraçãoThis research aims to analyse the impact of quarrying on the health and perception of neighbouring communities. A standard questionnaire survey was conducted to collect data from quarry neighbours in a residential neighbourhood located in the city of Lavras, Minas Gerais, Brazil. Residences were distributed based on proximity to a quarrying company, resulting in three distances divided by three equally distant radii, named as Area I (closest to the quarrying company at 630 m), Area II (730 m), and Area III (farthest from the quarrying company at 830 m). Data gathered from 177 residents were analysed with logistic regression models. Results indicated significant differences between Areas I and III, and as expected, disturbances decreased as the distance from the quarrying company increased. Area III residents provided the most favourable response to quarrying activities, and the noise was the main complaint in the three areas. The number of residents who complained about noise was 91, 77, and 63% for Areas I, II, and III, respectively. The employed method can be used satisfactorily for neighbourhood impact evaluations, considering personal experiences, human perception, and seasonal effects.School of Environmental Science, Universitas Indonesia2021-09-08T18:02:55Z2021-09-08T18:02:55Z2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfDOMINGUES, J. M. et al. Statistical modeling of quarrying activities and their impact on residents’ satisfaction. Journal of Environmental Science and Sustainable Development, [S. l.], v. 3, n. 2, p. 416-429, 2020.http://repositorio.ufla.br/jspui/handle/1/48068Journal of Environmental Science and Sustainable Developmentreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessDomingues, Jefferson M.Miranda, Vania F. L.Rezende, Denise C.Lares, Yara S.Ferreira, Saulo R.Oliveira, Izabela R. C. deeng2023-05-03T11:34:46Zoai:localhost:1/48068Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-03T11:34:46Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Statistical modeling of quarrying activities and their impact on residents’ satisfaction |
title |
Statistical modeling of quarrying activities and their impact on residents’ satisfaction |
spellingShingle |
Statistical modeling of quarrying activities and their impact on residents’ satisfaction Domingues, Jefferson M. Quarrying impacts Logistic regression models Neighborhood health Modelos de regressão logística Saúde da vizinhança Impactos de extração |
title_short |
Statistical modeling of quarrying activities and their impact on residents’ satisfaction |
title_full |
Statistical modeling of quarrying activities and their impact on residents’ satisfaction |
title_fullStr |
Statistical modeling of quarrying activities and their impact on residents’ satisfaction |
title_full_unstemmed |
Statistical modeling of quarrying activities and their impact on residents’ satisfaction |
title_sort |
Statistical modeling of quarrying activities and their impact on residents’ satisfaction |
author |
Domingues, Jefferson M. |
author_facet |
Domingues, Jefferson M. Miranda, Vania F. L. Rezende, Denise C. Lares, Yara S. Ferreira, Saulo R. Oliveira, Izabela R. C. de |
author_role |
author |
author2 |
Miranda, Vania F. L. Rezende, Denise C. Lares, Yara S. Ferreira, Saulo R. Oliveira, Izabela R. C. de |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Domingues, Jefferson M. Miranda, Vania F. L. Rezende, Denise C. Lares, Yara S. Ferreira, Saulo R. Oliveira, Izabela R. C. de |
dc.subject.por.fl_str_mv |
Quarrying impacts Logistic regression models Neighborhood health Modelos de regressão logística Saúde da vizinhança Impactos de extração |
topic |
Quarrying impacts Logistic regression models Neighborhood health Modelos de regressão logística Saúde da vizinhança Impactos de extração |
description |
This research aims to analyse the impact of quarrying on the health and perception of neighbouring communities. A standard questionnaire survey was conducted to collect data from quarry neighbours in a residential neighbourhood located in the city of Lavras, Minas Gerais, Brazil. Residences were distributed based on proximity to a quarrying company, resulting in three distances divided by three equally distant radii, named as Area I (closest to the quarrying company at 630 m), Area II (730 m), and Area III (farthest from the quarrying company at 830 m). Data gathered from 177 residents were analysed with logistic regression models. Results indicated significant differences between Areas I and III, and as expected, disturbances decreased as the distance from the quarrying company increased. Area III residents provided the most favourable response to quarrying activities, and the noise was the main complaint in the three areas. The number of residents who complained about noise was 91, 77, and 63% for Areas I, II, and III, respectively. The employed method can be used satisfactorily for neighbourhood impact evaluations, considering personal experiences, human perception, and seasonal effects. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 2021-09-08T18:02:55Z 2021-09-08T18:02:55Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
DOMINGUES, J. M. et al. Statistical modeling of quarrying activities and their impact on residents’ satisfaction. Journal of Environmental Science and Sustainable Development, [S. l.], v. 3, n. 2, p. 416-429, 2020. http://repositorio.ufla.br/jspui/handle/1/48068 |
identifier_str_mv |
DOMINGUES, J. M. et al. Statistical modeling of quarrying activities and their impact on residents’ satisfaction. Journal of Environmental Science and Sustainable Development, [S. l.], v. 3, n. 2, p. 416-429, 2020. |
url |
http://repositorio.ufla.br/jspui/handle/1/48068 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International http://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 |
School of Environmental Science, Universitas Indonesia |
publisher.none.fl_str_mv |
School of Environmental Science, Universitas Indonesia |
dc.source.none.fl_str_mv |
Journal of Environmental Science and Sustainable Development reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1815439332794695680 |