Transport cost to port though Brazilian federal roads network: Dataset for years 2000, 2005, 2010 and 2017
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...
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doaj-4c89cd8e5e6244b59fea1ef8c22a51c22021-06-27T04:38:12ZengElsevierData in Brief2352-34092021-06-0136107070Transport cost to port though Brazilian federal roads network: Dataset for years 2000, 2005, 2010 and 2017Daniel de Castro Victoria0Ramon Felipe Bicudo da Silva1James D.A. Millington2Valeri Katerinchuk3Mateus Batistella4Embrapa Agricultural Informatics. Brazilian Agricultural Research Corporation (EMBRAPA). Avenida Andre Tosello 209 Campus da Unicamp Barão Geraldo. PO Box 6041 - 13083-886 Campinas, São Paulo, Brazil; Corresponding author.Center for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University. 115 Manly Miles Building 1405 S. Harrison Rd. East Lansing, MI 48823, United States; Center for Environmental Studies and Research, State University of Campinas (NEPAM/UNICAMP), Rua dos Flamboyants, 155 - Cidade Universitária Campinas/SP - CEP: 13.083-867 Campinas, BrazilDepartment of Geography, King's College London, Strand, London WC2B 4BG, United KingdomDepartment of Geography, King's College London, Strand, London WC2B 4BG, United KingdomEmbrapa Agricultural Informatics. Brazilian Agricultural Research Corporation (EMBRAPA). Avenida Andre Tosello 209 Campus da Unicamp Barão Geraldo. PO Box 6041 - 13083-886 Campinas, São Paulo, Brazil; Center for Environmental Studies and Research, State University of Campinas (NEPAM/UNICAMP), Rua dos Flamboyants, 155 - Cidade Universitária Campinas/SP - CEP: 13.083-867 Campinas, BrazilTransport 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.http://www.sciencedirect.com/science/article/pii/S2352340921003541InfrastructureLogisticsExportsTransportationAgricultural commoditiesSoybean |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Daniel de Castro Victoria Ramon Felipe Bicudo da Silva James D.A. Millington Valeri Katerinchuk Mateus Batistella |
spellingShingle |
Daniel de Castro Victoria Ramon Felipe Bicudo da Silva James D.A. Millington Valeri Katerinchuk Mateus Batistella Transport cost to port though Brazilian federal roads network: Dataset for years 2000, 2005, 2010 and 2017 Data in Brief Infrastructure Logistics Exports Transportation Agricultural commodities Soybean |
author_facet |
Daniel de Castro Victoria Ramon Felipe Bicudo da Silva James D.A. Millington Valeri Katerinchuk Mateus Batistella |
author_sort |
Daniel de Castro Victoria |
title |
Transport cost to port though Brazilian federal roads network: Dataset for years 2000, 2005, 2010 and 2017 |
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 |
publisher |
Elsevier |
series |
Data in Brief |
issn |
2352-3409 |
publishDate |
2021-06-01 |
description |
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. |
topic |
Infrastructure Logistics Exports Transportation Agricultural commodities Soybean |
url |
http://www.sciencedirect.com/science/article/pii/S2352340921003541 |
work_keys_str_mv |
AT danieldecastrovictoria transportcosttoportthoughbrazilianfederalroadsnetworkdatasetforyears200020052010and2017 AT ramonfelipebicudodasilva transportcosttoportthoughbrazilianfederalroadsnetworkdatasetforyears200020052010and2017 AT jamesdamillington transportcosttoportthoughbrazilianfederalroadsnetworkdatasetforyears200020052010and2017 AT valerikaterinchuk transportcosttoportthoughbrazilianfederalroadsnetworkdatasetforyears200020052010and2017 AT mateusbatistella transportcosttoportthoughbrazilianfederalroadsnetworkdatasetforyears200020052010and2017 |
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1721358504833318912 |