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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References
ANTT (2022) Política Nacional de Pisos Mínimos de Frete. Available at: <https://www.gov.br/antt/ptbr/assuntos/cargas/politica-nacional-de-pisos-minimos-de-frete> (accessed 01/23/2023).
Araujo, F.; J.W.L. Almeida; I. Sena et al. (2015) Modelagem de corredores ótimos para instalação de empreendimentos ferroviários com o software livre Dinâmica EGO a partir de produtos gratuitos de sensoriamento remoto. In XVII Simpósio Brasileiro de Sensoriamento Remoto. São José dos Campos: INPE, p. 3549-56.
Borba, L.M. and J.L.G. Silva (2010) O Sistema de Informação Geográfica (GIS) como estratégia nas decisões do setor de Transportes no Brasil. Latin American Journal of Business Management, v. 1, n. 2, p. 84-111.
Câmara, G. and C. Davis (2001) Introdução: Por Que Geoprocessamento?. São José dos Campos: INPE. Available at: <http://mtc-m12.sid.inpe.br/col/sid.inpe.br/sergio/2004/04.19.13.48/doc/cap1-introducao.pdf> (accessed 01/23/2023).
Castro, G.S.A.; J. Daltio; C.A. Carvalho et al. (2019) Produção, armazenamento e logística de escoamento do milho safrinha. In Seminário Nacional de Milho Safrinha. Sete Lagoas: Associação Brasileira de Milho e Sorgo, p. 9-35.
Comex Stat. (2021) Available at: <http://comexstat.mdic.gov.br/pt/comex-vis> (accessed 01/23/2023).
Conab (2021) Acompanhamento da Safra Brasileira de Grãos (Safra 2020/21, 8º levantamento, n. 7). Brasília, DF: Conab. Available at: <https://www.conab.gov.br/info-agro/safras/graos/boletim-da-safra-de-graos> (accessed 01/23/2023).
Costa, W.L.S. (2013) Modelagem e Caracterização das Rotas de Exportação da Soja. Dissertação (mestrado). Análise e Modelagem de Sistemas Ambientais, Instituto de Geociências, Universidade Federal de Minas Gerais, Belo Horizonte, MG. Available at: <https://csr.ufmg.br/dinamica/wp-content/uploads/2018/08/dissertacao.pdf> (accessed 01/23/2023).
Dassan, M.; G. Castro; C.A. Carvalho et al.(2016) Análise territorial preliminar da macrologística agropecuária: da produção à exportação. In Congresso Interinstitucional de Iniciação Científica. Campinas: Embrapa Monitoramento por Satélite. Embrapa (2018a). Demanda Mundial por Soja Dobrará até 2050. Available at: <https://www.embrapa.br/busca-denoticias/-/noticia/39404817/demanda-mundial-por-soja-dobrara-ate-2050> (accessed 01/23/2023).
Embrapa (2018b). Caminhos da Safra da Produção e Exportação de Grãos. Available at: <https://www.embrapa.br/documents/1355154/32186845/Estudo10-caminhos+da+safrappt_web.pdf/fcd34cc8-013b-bd2f-ec59-c8b06c51a88c> (accessed 01/23/2023).
Embrapa (2020) Caminhos da Safra. Available at: <https://www.embrapa.br/macrologistica/caminhos-da-safra> (accessed 01/23/2023). EPL (2018) Relatório Executivo do PNL 2025, Junho de 2018. Available at: <https://ontl2.epl.gov.br/html/objects/_downloadblob.php?cod_blob=5835> (accessed 01/23/2023).
EPL (2021) Rede Georreferenciada – PNL 2025. Available at: <https://portal.epl.gov.br/rede-georeferenciada-pnl2025> (accessed 01/23/2023).
Kussano, M.R. and M.O. Batalha (2012) Custos logísticos agroindustriais: avaliação do escoamento da soja em grão do Mato Grosso para o mercado externo. Gestão & Produção, v. 19, n. 3, p. 619-32. DOI: 10.1590/S0104- 530X2012000300013. DOI: https://doi.org/10.1590/S0104-530X2012000300013
Lemos, M.L.F.; D.D. Guimarães; G.P.S. Maia et al. (2017) Agregação de valor na cadeia da soja. Agroindústria BNDES Setorial, v. 46, p. 167-217.
Lopes, H.S.; R.A. Lima and R.C. Ferreira (2016) A cost optimization model of transportation routes to export the Brazilian soybean. Custos e Agronegócios, v. 12, n. 4, p. 90-109.
MAPA (2020) Infraestrutura e Logística. Available at: <https://www.gov.br/agricultura/pt-br/assuntos/politicaagricola/infraestrutura-e-logistica/infraestrutura-e-logistica> (accessed 01/23/2023).
MTPA (2017) Corredores Logísticos Estratégicos: Volume I - Complexo de Soja e Milho. Available at: <https://www.gov.br/infraestrutura/pt-br/centrais-de-conteudo/relatorio_corredores_logisticos_sojamilho_v1- 2.pdf> (accessed 01/23/2023).
Nobrega, R.A.A.; C.A.M. Ferraz; C.F.Q. Berberian et al. (2016) Inteligência geográfica para avaliação de propostas de projeto de concessão de corredores ferroviários. Transportes, v. 24, n. 4, p. 75-84. DOI: 10.14295/transportes.v24i4.1077. Silva, M. and M.A. D'Agosto (2013) A model to estimate the origin-destination matrix for soybean exportation in Brazil. Journal of Transport Geography, v. 26, p. 97-107. DOI: https://doi.org/10.14295/transportes.v24i4.1077
Silva, M.P. and L.G. Marujo (2012) Análise de modelo intermodal para escoamento da produção da soja no centro oeste brasileiro. Journal of Transport Literature, v. 6, n. 3, p. 90-106. DOI: 10.1590/S2238-10312012000300006. DOI: https://doi.org/10.1590/S2238-10312012000300006
Soares-Filho, B.S. (1998) Modelagem da Dinâmica de Paisagem de uma Região de Fronteira de Colonização Amazônica. Dissertation (doctorate). Universidade de São Paulo, São Paulo, SP. Available at: <http://www.dpi.inpe.br/cursos/tutoriais/modelagem/referencias/tese_britaldo/tese.html> (accessed 01/23/2023).
Souza, M.F. (2019) Otimização da Localização de Novas Unidades Armazenadoras de Grãos em Minas Gerais. Thesis (Master's degree). Universidade Federal de Minas Gerais, Belo Horizonte, MG. Available at: <https://repositorio.ufmg.br/bitstream/1843/30703/1/Souza_MF_Otimizacao%20locacional%20de%20novas%20unidades%20armazenadoras%20de%20gr%C3%A3os%20em%20Minas%20Gerais.pd> (accessed 01/23/2023).
Souza, M.F.; P.H.G. Pinto; R.B.A. Teixeira et al. (2020) Dry port location optimization to foster sustainable regional development. Sustenatbilidade em Debate, v. 11, n. 2, p. 208-22. DOI: 10.18472/SustDeb.v11n2.2020.27073. DOI: https://doi.org/10.18472/SustDeb.v11n2.2020.27073
Waydzik, F.A.; R. Seleme; W.A. Silva et al. (2020) Análise de roteirização aplicada ao transporte multimodal para escoamento da produção agrícola do estado do Mato Grosso. Brazilian Journal of Development, v. 6, n. 9, p. 66120- 38. DOI: 10.34117/bjdv6n9-154. DOI: https://doi.org/10.34117/bjdv6n9-154
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