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Recebido: 13 de novembro de 2018 Aceito para publicação: 7 de junho de 2020 Publicado: 15 de dezembro de 2020 Editor de área: Helena Beatriz Cybis ABSTRACT Es7ma7ng the number of trips generated by a company is an essen7al part of the process of freight demand modelling. In this context, the current study examines freight trip genera7on to buildings under construc7on (BUC) using generalised linear regression and linear regression, through a case study to Belo Horizonte. The main contribu7ons of this paper are related to the models to es7mate freight trips to BUC, the verifica7on of the linearity assump7ons of the linear models and the comparison of different modelling techniques for the freight trip genera7on models. Linearity assump7ons verified the reliability of the results of the linear regression models. Results indicate that the models with the best accuracy in predic7ng freight trips to the BUC are the linear models that use the area as an explanatory variable.

Freight trip generation to buildings under construction: a comparative analysis with linear regression and generalised linear regression