Truck trips in urban areas and its relation to socioeconomic variables

Abstract

The purpose of this paper is to analyze variables and freight trip generation (FTG) models in the literature in order to identify which variables can be used to explain FTG in urban areas. The variables found are establishment-based, such as number of employees, gross floor area, and number of stores, among others; and related to the territory, such as population, number of households, and jobs in the region. Three variables were selected (population, households and employment) and tested using data from the metropolitan region of Rio de Janeiro via two methods: travel rates and linear regression. The results show that all variables can explain FTG, but households and population presented a closer association with freight flow.

Keywords

• Freight trip generation
• Urban freight transport
• Trip rates