Accounting for greenhouse gas emissions from traffic rearrangement: a network vulnerability perspective
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Production |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100210 |
Resumo: | Abstract Paper aims This study aims to accounting for greenhouse gas emissions from traffic rearrangement, using a network vulnerability framework. Originality We present a new procedure to verify the effectiveness of accident risk as an attribute to find the most vulnerable links of a road network, estimating the amount emitted in the process. Research method Vulnerability is measured by the variation in CO2 equivalent emitted and total distance traveled, after changes in accessibility patterns. Main findings To date, limited research exists on accounting for emissions from the perspective of vulnerability. Three scenarios of risk-level and traffic conditions were modeled. Results indicate that high levels of accidents exposure may increase emissions by 5.2% compared to a low-risk scenario, and 9.1% compared to an unabridged network scenario. Implications for theory and practice The proposed framework could support governmental policies and urban planning to verify the impact of accessibility patterns in GHG emissions. |
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Accounting for greenhouse gas emissions from traffic rearrangement: a network vulnerability perspectiveGreenhouse gasEmissionsVulnerabilityRiskAbstract Paper aims This study aims to accounting for greenhouse gas emissions from traffic rearrangement, using a network vulnerability framework. Originality We present a new procedure to verify the effectiveness of accident risk as an attribute to find the most vulnerable links of a road network, estimating the amount emitted in the process. Research method Vulnerability is measured by the variation in CO2 equivalent emitted and total distance traveled, after changes in accessibility patterns. Main findings To date, limited research exists on accounting for emissions from the perspective of vulnerability. Three scenarios of risk-level and traffic conditions were modeled. Results indicate that high levels of accidents exposure may increase emissions by 5.2% compared to a low-risk scenario, and 9.1% compared to an unabridged network scenario. Implications for theory and practice The proposed framework could support governmental policies and urban planning to verify the impact of accessibility patterns in GHG emissions.Associação Brasileira de Engenharia de Produção2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100210Production v.29 2019reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.20190015info:eu-repo/semantics/openAccessGoes,George VasconcelosD’Agosto,Márcio de AlmeidaMachado,Pedro Henrique de Castro Albuquerqueeng2019-07-01T00:00:00Zoai:scielo:S0103-65132019000100210Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2019-07-01T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
Accounting for greenhouse gas emissions from traffic rearrangement: a network vulnerability perspective |
title |
Accounting for greenhouse gas emissions from traffic rearrangement: a network vulnerability perspective |
spellingShingle |
Accounting for greenhouse gas emissions from traffic rearrangement: a network vulnerability perspective Goes,George Vasconcelos Greenhouse gas Emissions Vulnerability Risk |
title_short |
Accounting for greenhouse gas emissions from traffic rearrangement: a network vulnerability perspective |
title_full |
Accounting for greenhouse gas emissions from traffic rearrangement: a network vulnerability perspective |
title_fullStr |
Accounting for greenhouse gas emissions from traffic rearrangement: a network vulnerability perspective |
title_full_unstemmed |
Accounting for greenhouse gas emissions from traffic rearrangement: a network vulnerability perspective |
title_sort |
Accounting for greenhouse gas emissions from traffic rearrangement: a network vulnerability perspective |
author |
Goes,George Vasconcelos |
author_facet |
Goes,George Vasconcelos D’Agosto,Márcio de Almeida Machado,Pedro Henrique de Castro Albuquerque |
author_role |
author |
author2 |
D’Agosto,Márcio de Almeida Machado,Pedro Henrique de Castro Albuquerque |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Goes,George Vasconcelos D’Agosto,Márcio de Almeida Machado,Pedro Henrique de Castro Albuquerque |
dc.subject.por.fl_str_mv |
Greenhouse gas Emissions Vulnerability Risk |
topic |
Greenhouse gas Emissions Vulnerability Risk |
description |
Abstract Paper aims This study aims to accounting for greenhouse gas emissions from traffic rearrangement, using a network vulnerability framework. Originality We present a new procedure to verify the effectiveness of accident risk as an attribute to find the most vulnerable links of a road network, estimating the amount emitted in the process. Research method Vulnerability is measured by the variation in CO2 equivalent emitted and total distance traveled, after changes in accessibility patterns. Main findings To date, limited research exists on accounting for emissions from the perspective of vulnerability. Three scenarios of risk-level and traffic conditions were modeled. Results indicate that high levels of accidents exposure may increase emissions by 5.2% compared to a low-risk scenario, and 9.1% compared to an unabridged network scenario. Implications for theory and practice The proposed framework could support governmental policies and urban planning to verify the impact of accessibility patterns in GHG emissions. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100210 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100210 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-6513.20190015 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia de Produção |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia de Produção |
dc.source.none.fl_str_mv |
Production v.29 2019 reponame:Production instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Production |
collection |
Production |
repository.name.fl_str_mv |
Production - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
||production@editoracubo.com.br |
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1754213154481504256 |