Journal
DATA IN BRIEF
Volume 36, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.dib.2021.107070
Keywords
Infrastructure; Logistics; Exports; Transportation; Agricultural commodities; Soybean; GIS
Categories
Funding
- Embrapa
- Sao Paulo Research Foundation (FAPESP) [14/50628-9, 15/25892-7, 18/08200-2]
- UK Natural Environment Research Council [NE/M021335/1]
- NERC [NE/M021335/1] Funding Source: UKRI
- Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [18/08200-2, 15/25892-7] Funding Source: FAPESP
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Transport costs play a significant role in agricultural exports, business profitability, and farmers' decisions on land use. This study evaluated the impacts of changing global demand for agricultural products on land use and cover change using the CRAFTY-Brazil model. The research reconstructed the historic road network and identified export ports to derive transport costs for Brazil in different years.
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. (C) 2021 The Author(s). Published by Elsevier Inc.
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