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

Research output: Contribution to journalArticlepeer-review

Daniel de Castro Victoria, Ramon Felipe Bicudo da Silva, James Millington, Valeri Katerinchuk, Mateus Batistella

Original languageEnglish
Article number107070
JournalData in Brief
Volume36
Early online date22 Apr 2021
DOIs
E-pub ahead of print22 Apr 2021
PublishedJun 2021

Bibliographical note

Funding Information: This work was supported by Embrapa and the S?o Paulo Research Foundation (FAPESP), processes 14/50628?9, 15/25892?7, and 18/08200?2. We gratefully acknowledge the funding support by the UK Natural Environment Research Council, under grant reference NE/M021335/1. Funding Information: This work was supported by Embrapa and the São Paulo Research Foundation (FAPESP), processes 14/50628–9, 15/25892–7, and 18/08200–2. We gratefully acknowledge the funding support by the UK Natural Environment Research Council , under grant reference NE/M021335/1 . Publisher Copyright: © 2021 Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

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  • DIB-S-21-00521

    DIB_S_21_00521.pdf, 547 KB, application/pdf

    Uploaded date:03 Mar 2021

    Version:Submitted manuscript

    Licence:CC BY

King's Authors

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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