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

Abstract

Estimating the number of trips generated by a company is an essential part of the process of freight demand modelling. In this context, the current study examines freight trip generation to buildings under construction (BUC) using generalised linear regression and linear regression, through a case study to Belo Horizonte. The main contributions of this paper are related to the models to estimate freight trips to BUC, the verification of the linearity assumptions of the linear models and the comparison of different modelling techniques for the freight trip generation models. Linearity assumptions verified the reliability of the results of the linear regression models. Results indicate that the models with the best accuracy in predicting freight trips to the BUC are the linear models that use the area as an explanatory variable.

Keywords

• Freight trip generation model. Buildings under construction. Linear regression. Generalised linear regression. Comparative analysis.