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A model to estimate the origin–destination matrix for soybean exportation in Brazil

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  • da Silva, Marcelino Aurélio Vieira
  • de Almeida D’Agosto, Marcio

Abstract

This article proposes a model to estimate the origin–destination (O–D) matrix for the export flow of Brazilian soybeans based upon a constrained gravity model. The performance of the model was improved by establishing an adjustment criterion for the data, which increased the coefficient of determination of the trend by 24–46%, combined with multi-objective optimization techniques to ensure a balance of the O–D matrix, which yielded R2 values of 0.94 regardless of the prediction year. The model is easy to apply and can help in the strategic planning of transportation for the export of soy products from Brazil, provided that the supply chain configuration is known and the absolute percentage errors are monitored over time.

Suggested Citation

  • da Silva, Marcelino Aurélio Vieira & de Almeida D’Agosto, Marcio, 2013. "A model to estimate the origin–destination matrix for soybean exportation in Brazil," Journal of Transport Geography, Elsevier, vol. 26(C), pages 97-107.
    • Handle: RePEc:eee:jotrge:v:26:y:2013:i:c:p:97-107
    DOI: 10.1016/j.jtrangeo.2012.08.011
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    References listed on IDEAS

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    Cited by:

    1. Silvia Araújo dos Reis & José Eugenio Leal & Antônio Márcio Tavares Thomé, 2023. "A Two-Stage Stochastic Linear Programming Model for Tactical Planning in the Soybean Supply Chain," Logistics, MDPI, vol. 7(3), pages 1-26, August.

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