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

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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Main Authors: VICTORIA, D. de C., SILVA, R. F. B. da, MILLINGTON, J. D. A., KATERINCHUK, V., BATISTELLA, M.
Other Authors: DANIEL DE CASTRO VICTORIA, CNPTIA
Format: Artigo de periódico biblioteca
Language:Ingles
English
Published: 2021-05-11
Subjects: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,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131767
https://doi.org/10.1016/j.dib.2021.107070
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spelling dig-alice-doc-11317672021-05-12T02:14:54Z Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017. VICTORIA, D. de C. SILVA, R. F. B. da MILLINGTON, J. D. A. KATERINCHUK, V. BATISTELLA, M. DANIEL DE CASTRO VICTORIA, CNPTIA JAMES D. A. MILLINGTON, King’s College London MATEUS BATISTELLA, CNPTIA, NEPAM/Unicamp. VALERI KATERINCHUK, King's College London RAMON FELIPE BICUDO DA SILVA, Michigan State University, NEPAM/Unicamp 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 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. Article 107070. 2021-05-12T02:14:42Z 2021-05-12T02:14:42Z 2021-05-11 2021 Artigo de periódico 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 Ingles en openAccess
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language Ingles
English
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
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
spellingShingle 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
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
VICTORIA, D. de C.
SILVA, R. F. B. da
MILLINGTON, J. D. A.
KATERINCHUK, V.
BATISTELLA, M.
Transport cost to port though Brazilian federal roads network: dataset for years 2000, 2005, 2010 and 2017.
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.
author2 DANIEL DE CASTRO VICTORIA, CNPTIA
author_facet DANIEL DE CASTRO VICTORIA, CNPTIA
VICTORIA, D. de C.
SILVA, R. F. B. da
MILLINGTON, J. D. A.
KATERINCHUK, V.
BATISTELLA, M.
format Artigo de periódico
topic_facet 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
author VICTORIA, D. de C.
SILVA, R. F. B. da
MILLINGTON, J. D. A.
KATERINCHUK, V.
BATISTELLA, M.
author_sort VICTORIA, D. de C.
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.
publishDate 2021-05-11
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1131767
https://doi.org/10.1016/j.dib.2021.107070
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