Geographical modeling for the simulation of soybean transport costs in logistic basins
DOI:
https://doi.org/10.58922/transportes.v31i1.2700Keywords:
Transportation, Soybean, Geotechnologies, SimulationAbstract
Soybean freight, a commodity whose exportation accounts for 14% of national volume, corresponds to 80% of the total transportation cost. The attenuation of transportation costs is foreseen in the Brazilian National Logistics Plan 2025 through investments in critical transportation infrastructures. Notwithstanding, the methods used to support and justify the assets are unclear. This work addresses an investigation focusing on soybean routes between producer municipalities and the main exportation ports using geotechnologies and geospatial simulation for predictive scenarios. The research relied on official public data considering the infrastructure of 2020 and 2025 to create a multi-modal, multi-origin, and multidestination model developed on an open-source platform and covered the entire conterminous national territory. The results qualify and quantify the reduction in the cost of transporting soybeans. Findings show a 10% average cost reduction between the two simulated scenarios. Furthermore, along with 79 producing municipalities analyzed, we found a 19% chance of considering re-routing destinations to different ports for the 2020 and 2025 scenarios. Of this total change, 73% are from municipalities that now have the port of Santarém-PA, indicating not only the importance of the projects but also the changes in the regions of influence of the ports with the inclusion of new transport routes. The study benefits society not only for the transparency of the data but also for anticipating scenarios that can support public policies.
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