Geração de viagens de carga para edifícios em construção: uma análise comparativa entre regressão linear e regressão linear generalizada

Autores

  • Leise Kelli de Oliveira Federal University of Minas Gerais, Minas Gerais – Brazil http://orcid.org/0000-0002-4756-4183
  • Rafael Tagliatti Herédia Federal University of Minas Gerais, Minas Gerais – Brazil
  • Bruno Vieira Bertoncini Federal University of Ceará, Ceará – Brazil https://orcid.org/0000-0002-1434-1960
  • Renata Lúcia Magalhães de Oliveira Federal Center for Technological Education of Minas Gerais, Minas Gerais – Brazil

DOI:

https://doi.org/10.14295/transportes.v28i5.1885

Palavras-chave:

Modelos de geração de viagens de carga. Edifícios em construção. Regressão linear. Regressão linear generalizada. Análise comparativa.

Resumo

A estimativa do número de viagens geradas por uma empresa é parte essencial do processo de modelagem da demanda de carga. Nesse contexto, o presente estudo compara modelos de viagens de carga para edifícios em construção (BUC) estimados por regressão linear generalizada e regressão linear, em um estudo de caso para Belo Horizonte. As principais contribuições deste artigo estão relacionadas aos modelos para estimar viagens de carga para BUC, a verificação das premissas de linearidade dos modelos lineares e a comparação de diferentes técnicas de modelagem para oa geração de viagens de carga. As suposições de linearidade permitiram avaliar a confiabilidade dos resultados dos modelos de regressão linear. Os resultados indicam que os modelos com melhor acurácia na previsão de viagens de carga ao BUC são os modelos lineares que utilizam a área como variável explicativa.

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Biografia do Autor

Leise Kelli de Oliveira, Federal University of Minas Gerais, Minas Gerais – Brazil

Departamento de Engenharia de Transportes e Geotecnia

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Publicado

2020-12-15

Como Citar

de Oliveira, L. K., Herédia, R. T., Bertoncini, B. V., & de Oliveira, R. L. M. (2020). Geração de viagens de carga para edifícios em construção: uma análise comparativa entre regressão linear e regressão linear generalizada. TRANSPORTES, 28(5), 28–42. https://doi.org/10.14295/transportes.v28i5.1885

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