Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017.

Detalhes bibliográficos
Autor(a) principal: VICTORIA, D. de C.
Data de Publicação: 2021
Outros Autores: SILVA, R. F. B. da, MILLINGTON, J. D. A., KATERINCHUK, V., BATISTELLA, M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131767
https://doi.org/10.1016/j.dib.2021.107070
Resumo: Abstract. Transport costs can play a significant role in agricultural exports and businesses profitability. It can also influence farmers´ decisions regarding cropland expansion, intensification or land abandonment. Thus, transport is useful to take into account when modeling and evaluating land use and cover change related to agriculture production. The dataset described in this article represents the Infrastructure Capital in the work presented by Millington et al. (2021) [1], in which the CRAFTY-Brazil model is used to evaluate the impacts of changing global demand for agricultural products on land use and cover change. This modeling required a transport cost dataset that spanned the model calibration period, was consistent through time and covered the entire study area. The most recent federal road network (for year 2017) obtained in vector format (shapefile) was joined to road section surface status tables for past years (2000, 2005 and 2010) in order to reconstruct the historic road network. Export ports handling agricultural commodities, and their years of operation, were identified. Both datasets were used to derive the relative transport cost to the nearest port for Brazil, for years 2000, 2005, 2010 and 2017.
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spelling Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017.Custo de transporteInfraestruturaCommodieties agrícolaRede rodoviária federalLogisticsAgricultural commoditiesSoybeanLogísticaTransporteSojaSistema de Informação GeográficaExportaçãoInfrastructureExportsTransportationSoybeansAbstract. Transport costs can play a significant role in agricultural exports and businesses profitability. It can also influence farmers´ decisions regarding cropland expansion, intensification or land abandonment. Thus, transport is useful to take into account when modeling and evaluating land use and cover change related to agriculture production. The dataset described in this article represents the Infrastructure Capital in the work presented by Millington et al. (2021) [1], in which the CRAFTY-Brazil model is used to evaluate the impacts of changing global demand for agricultural products on land use and cover change. This modeling required a transport cost dataset that spanned the model calibration period, was consistent through time and covered the entire study area. The most recent federal road network (for year 2017) obtained in vector format (shapefile) was joined to road section surface status tables for past years (2000, 2005 and 2010) in order to reconstruct the historic road network. Export ports handling agricultural commodities, and their years of operation, were identified. Both datasets were used to derive the relative transport cost to the nearest port for Brazil, for years 2000, 2005, 2010 and 2017.Article 107070.DANIEL DE CASTRO VICTORIA, CNPTIARAMON FELIPE BICUDO DA SILVA, Michigan State University, NEPAM/UnicampJAMES D. A. MILLINGTON, King’s College LondonVALERI KATERINCHUK, King's College LondonMATEUS BATISTELLA, CNPTIA, NEPAM/Unicamp.VICTORIA, D. de C.SILVA, R. F. B. daMILLINGTON, J. D. A.KATERINCHUK, V.BATISTELLA, M.2021-05-12T02:14:42Z2021-05-12T02:14:42Z2021-05-112021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleData in Brief, v. 36, p. 1-10, June 2021.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131767https://doi.org/10.1016/j.dib.2021.107070enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2021-05-12T02:14:54Zoai:www.alice.cnptia.embrapa.br:doc/1131767Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542021-05-12T02:14:54falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542021-05-12T02:14:54Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017.
title Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017.
spellingShingle Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017.
VICTORIA, D. de C.
Custo de transporte
Infraestrutura
Commodieties agrícola
Rede rodoviária federal
Logistics
Agricultural commodities
Soybean
Logística
Transporte
Soja
Sistema de Informação Geográfica
Exportação
Infrastructure
Exports
Transportation
Soybeans
title_short Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017.
title_full Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017.
title_fullStr Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017.
title_full_unstemmed Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017.
title_sort Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017.
author VICTORIA, D. de C.
author_facet VICTORIA, D. de C.
SILVA, R. F. B. da
MILLINGTON, J. D. A.
KATERINCHUK, V.
BATISTELLA, M.
author_role author
author2 SILVA, R. F. B. da
MILLINGTON, J. D. A.
KATERINCHUK, V.
BATISTELLA, M.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv DANIEL DE CASTRO VICTORIA, CNPTIA
RAMON FELIPE BICUDO DA SILVA, Michigan State University, NEPAM/Unicamp
JAMES D. A. MILLINGTON, King’s College London
VALERI KATERINCHUK, King's College London
MATEUS BATISTELLA, CNPTIA, NEPAM/Unicamp.
dc.contributor.author.fl_str_mv VICTORIA, D. de C.
SILVA, R. F. B. da
MILLINGTON, J. D. A.
KATERINCHUK, V.
BATISTELLA, M.
dc.subject.por.fl_str_mv Custo de transporte
Infraestrutura
Commodieties agrícola
Rede rodoviária federal
Logistics
Agricultural commodities
Soybean
Logística
Transporte
Soja
Sistema de Informação Geográfica
Exportação
Infrastructure
Exports
Transportation
Soybeans
topic Custo de transporte
Infraestrutura
Commodieties agrícola
Rede rodoviária federal
Logistics
Agricultural commodities
Soybean
Logística
Transporte
Soja
Sistema de Informação Geográfica
Exportação
Infrastructure
Exports
Transportation
Soybeans
description Abstract. Transport costs can play a significant role in agricultural exports and businesses profitability. It can also influence farmers´ decisions regarding cropland expansion, intensification or land abandonment. Thus, transport is useful to take into account when modeling and evaluating land use and cover change related to agriculture production. The dataset described in this article represents the Infrastructure Capital in the work presented by Millington et al. (2021) [1], in which the CRAFTY-Brazil model is used to evaluate the impacts of changing global demand for agricultural products on land use and cover change. This modeling required a transport cost dataset that spanned the model calibration period, was consistent through time and covered the entire study area. The most recent federal road network (for year 2017) obtained in vector format (shapefile) was joined to road section surface status tables for past years (2000, 2005 and 2010) in order to reconstruct the historic road network. Export ports handling agricultural commodities, and their years of operation, were identified. Both datasets were used to derive the relative transport cost to the nearest port for Brazil, for years 2000, 2005, 2010 and 2017.
publishDate 2021
dc.date.none.fl_str_mv 2021-05-12T02:14:42Z
2021-05-12T02:14:42Z
2021-05-11
2021
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Data in Brief, v. 36, p. 1-10, June 2021.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131767
https://doi.org/10.1016/j.dib.2021.107070
identifier_str_mv Data in Brief, v. 36, p. 1-10, June 2021.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131767
https://doi.org/10.1016/j.dib.2021.107070
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
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repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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