Statistical modeling of quarrying activities and their impact on residents’ satisfaction

Detalhes bibliográficos
Autor(a) principal: Domingues, Jefferson M.
Data de Publicação: 2020
Outros Autores: Miranda, Vania F. L., Rezende, Denise C., Lares, Yara S., Ferreira, Saulo R., Oliveira, Izabela R. C. de
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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spelling 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
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