Transport Cost to Ports through Brazilian Federal Roads Networks: 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 change related to agriculture production. The dataset described in this article represents the Infrastructure Capital in the work presented by Millington et al (2020), 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 mos recent 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 hadling 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.

运输成本在农业出口和商业盈利能力中扮演着至关重要的角色。它同样能够影响农民关于耕地扩张、强化或土地荒废的决策。因此，在模拟与评估农业生产相关的土地利用与覆盖变化时，运输成本是一个不可忽视的因素。本文所描述的数据集代表了Millington等人（2020年）提出的基础设施资本，其中运用了CRAFTY-Brazil模型来评估全球对农产品需求变化对土地利用与覆盖变化的影响。此建模过程需要一个跨越模型校准期、时间上保持一致且涵盖整个研究区域的运输成本数据集。本文将最新年份（2017年）的矢量格式（shapefile）道路网络与过去年份（2000年、2005年和2010年）的道路段落表面状态表相结合，以重建历史道路网络。同时，识别了处理农业商品的出口港口及其运营年份。这两个数据集被用于推导出巴西在2000年、2005年、2010年和2017年对最近港口的相对运输成本。