Analysis of the relation between socioeconomic variables and truck trips in the metropolitan region of Rio de Janeiro
AbstractThe goal of this paper is to analyze the relation between socioeconomic variables and freight trip generation, regarding the Metropolitan Region of Rio de Janeiro, through the use of linear regression models. A systematic literature review is conducted in order to identify which independent variables could be used in the models. The variables found are mostly related to the establishment, such as number of employees, floor area, number of stores among others; and socioeconomic variables, such as population, households and jobs in the region. The relation between the latter and number of truck trips is verified with linear regression models, and the results show that the models are valid and the variables are able to explain the freight flow in the region studied, contributing to the region’s transport planning and to the strategic planning of companies that operate in the region.
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