Traffic Studies and Mobility

This study presents the results of a field survey conducted in Brisbane, Australia, involving 150 commercial establishments, with the objective of identifying freight trip generation (FTG) patterns and understanding truck mobility behaviour across different urban zones. The research addresses a critical knowledge gap in the estimation of FTG at the local level, aiming to provide initial insights for the development of more efficient urban freight transport solutions. The analysis employed both linear and non-linear regression models to quantify the relationship between business characteristics and the number of freight-related trips generated.

The study was conducted with sponsorship support for the publication of applied econometric modelling in freight transport. Its findings offer practical benefits for urban planning, including improved estimation of freight-related emissions, infrastructure demand, and policy interventions aimed at reducing urban freight impacts.

Keywords: Freight Trip Generation, FTG, Urban Freight Transport, Brisbane, Truck Mobility, Commercial Establishments, Freight Modelling, Econometric Modelling, Linear Regression, Non-linear Regression, Urban Logistics, Freight Emissions, Infrastructure Demand, Transport Policy, Urban Planning, Applied Transport Research, Australia