USE OF STOCHASTIC VOLATILITY MODELS IN THE VARIABILITY OF PASSENGERS AND CARGO TRANSPORT IN SOME AIRPORTS IN SÃO PAULO STATE, BRAZIL
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Pesquisa operacional (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382017000100173 |
Resumo: | ABSTRACT The proposed study is related to the identification of important factors that determine the feasibility of regional airport hubs in São Paulo State, Brazil. This way, new perspectives are created to map airports in this region based on economic criteria of operations and volumes. The study is based on statistical data analysis of time series related to operations and volume of passengers and cargo transport data sets during a fixed period of time. Stochastic volatility models are applied for the logarithmic transformed counting data set considering the four largest airports selected from a group of 32 airports in the São Paulo State chosen by their importance in the amount of passenger and cargo for the period ranging from the year 2008 to the year 2014. This study is a new approach in the analysis of air transport time series. |
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USE OF STOCHASTIC VOLATILITY MODELS IN THE VARIABILITY OF PASSENGERS AND CARGO TRANSPORT IN SOME AIRPORTS IN SÃO PAULO STATE, BRAZILstochastic volatility modelshubspassenger and cargo air transportBayesian methods,time seriesABSTRACT The proposed study is related to the identification of important factors that determine the feasibility of regional airport hubs in São Paulo State, Brazil. This way, new perspectives are created to map airports in this region based on economic criteria of operations and volumes. The study is based on statistical data analysis of time series related to operations and volume of passengers and cargo transport data sets during a fixed period of time. Stochastic volatility models are applied for the logarithmic transformed counting data set considering the four largest airports selected from a group of 32 airports in the São Paulo State chosen by their importance in the amount of passenger and cargo for the period ranging from the year 2008 to the year 2014. This study is a new approach in the analysis of air transport time series.Sociedade Brasileira de Pesquisa Operacional2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382017000100173Pesquisa Operacional v.37 n.1 2017reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/0101-7438.2017.037.01.0173info:eu-repo/semantics/openAccessAchcar,Jorge AlbertoBonette,Luiz RodrigoAzzolini Junior,Walthereng2017-06-05T00:00:00Zoai:scielo:S0101-74382017000100173Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2017-06-05T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false |
dc.title.none.fl_str_mv |
USE OF STOCHASTIC VOLATILITY MODELS IN THE VARIABILITY OF PASSENGERS AND CARGO TRANSPORT IN SOME AIRPORTS IN SÃO PAULO STATE, BRAZIL |
title |
USE OF STOCHASTIC VOLATILITY MODELS IN THE VARIABILITY OF PASSENGERS AND CARGO TRANSPORT IN SOME AIRPORTS IN SÃO PAULO STATE, BRAZIL |
spellingShingle |
USE OF STOCHASTIC VOLATILITY MODELS IN THE VARIABILITY OF PASSENGERS AND CARGO TRANSPORT IN SOME AIRPORTS IN SÃO PAULO STATE, BRAZIL Achcar,Jorge Alberto stochastic volatility models hubs passenger and cargo air transport Bayesian methods,time series |
title_short |
USE OF STOCHASTIC VOLATILITY MODELS IN THE VARIABILITY OF PASSENGERS AND CARGO TRANSPORT IN SOME AIRPORTS IN SÃO PAULO STATE, BRAZIL |
title_full |
USE OF STOCHASTIC VOLATILITY MODELS IN THE VARIABILITY OF PASSENGERS AND CARGO TRANSPORT IN SOME AIRPORTS IN SÃO PAULO STATE, BRAZIL |
title_fullStr |
USE OF STOCHASTIC VOLATILITY MODELS IN THE VARIABILITY OF PASSENGERS AND CARGO TRANSPORT IN SOME AIRPORTS IN SÃO PAULO STATE, BRAZIL |
title_full_unstemmed |
USE OF STOCHASTIC VOLATILITY MODELS IN THE VARIABILITY OF PASSENGERS AND CARGO TRANSPORT IN SOME AIRPORTS IN SÃO PAULO STATE, BRAZIL |
title_sort |
USE OF STOCHASTIC VOLATILITY MODELS IN THE VARIABILITY OF PASSENGERS AND CARGO TRANSPORT IN SOME AIRPORTS IN SÃO PAULO STATE, BRAZIL |
author |
Achcar,Jorge Alberto |
author_facet |
Achcar,Jorge Alberto Bonette,Luiz Rodrigo Azzolini Junior,Walther |
author_role |
author |
author2 |
Bonette,Luiz Rodrigo Azzolini Junior,Walther |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Achcar,Jorge Alberto Bonette,Luiz Rodrigo Azzolini Junior,Walther |
dc.subject.por.fl_str_mv |
stochastic volatility models hubs passenger and cargo air transport Bayesian methods,time series |
topic |
stochastic volatility models hubs passenger and cargo air transport Bayesian methods,time series |
description |
ABSTRACT The proposed study is related to the identification of important factors that determine the feasibility of regional airport hubs in São Paulo State, Brazil. This way, new perspectives are created to map airports in this region based on economic criteria of operations and volumes. The study is based on statistical data analysis of time series related to operations and volume of passengers and cargo transport data sets during a fixed period of time. Stochastic volatility models are applied for the logarithmic transformed counting data set considering the four largest airports selected from a group of 32 airports in the São Paulo State chosen by their importance in the amount of passenger and cargo for the period ranging from the year 2008 to the year 2014. This study is a new approach in the analysis of air transport time series. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 |
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=S0101-74382017000100173 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382017000100173 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0101-7438.2017.037.01.0173 |
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 |
Sociedade Brasileira de Pesquisa Operacional |
publisher.none.fl_str_mv |
Sociedade Brasileira de Pesquisa Operacional |
dc.source.none.fl_str_mv |
Pesquisa Operacional v.37 n.1 2017 reponame:Pesquisa operacional (Online) instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO) instacron:SOBRAPO |
instname_str |
Sociedade Brasileira de Pesquisa Operacional (SOBRAPO) |
instacron_str |
SOBRAPO |
institution |
SOBRAPO |
reponame_str |
Pesquisa operacional (Online) |
collection |
Pesquisa operacional (Online) |
repository.name.fl_str_mv |
Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO) |
repository.mail.fl_str_mv |
||sobrapo@sobrapo.org.br |
_version_ |
1750318018150268928 |