Alternative Modelling to Estimate Freight Trip Generation

24 Pages Posted: 21 Feb 2020

Date Written: January 24, 2020

Abstract

Freight trip generation models essentially use the least-squares estimation technique, losing in part the power of weighted least squares, least squares techniques in two stages, and instrumental variables that could address the complexities of the transport phenomenon that has repercussions in the explanatory and dependent variables, as well as in the hypotheses related to the behaviour of the estimation error. In this sense, this paper presents an alternative modelling to estimate freight trip generation using different techniques dealing with the problems arising from linear regression and obtaining efficiency in the estimation models. Also, an exercise considering warehouse freight trip generation modelling is presented using the traditional technique of least squares and comparing the results with least-squares weighted, least-squares techniques in two stages and instrumental variables. The results indicate that the proposed modelling improve linear models to predict freight trip generation estimation, guaranteeing better adherence than traditional modelling.

Keywords: freight trip generation model; ordinary least squares method; instrumental variables estimation; weighted least squares

JEL Classification: C01; C35; C36; R15; R39

Suggested Citation

Da Silva, Francisco Gildemir Ferreira and Da Silva, Francisco Gildemir Ferreira and Oliveira, Leise Kelli de, Alternative Modelling to Estimate Freight Trip Generation (January 24, 2020). Available at SSRN: https://ssrn.com/abstract=3525004 or http://dx.doi.org/10.2139/ssrn.3525004

Francisco Gildemir Ferreira Da Silva (Contact Author)

Federal University of Ceara ( email )

Rua Marechal Deodoro, 400
Fortaleza, Ceara 600000000
Brazil

CAEN - UFC ( email )

Av. da Universidade, 2700
Fortaleza, 60020-181
Brazil

Leise Kelli de Oliveira

UFMG ( email )

Av. Antonio Carlos, 6627
Belo Horizonte, Minas Gerais 31270-901
Brazil

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