The paper presents a population synthesiser based on the method of Iterative Proportional Fitting (IPF) algorithm developed for the new Danish national transport model system. The synthesiser is designed for large population matrices and allows target variables to be represented in several...

We evaluate household transport consumption inequalities in France, Denmark and Cyprus, investigate their temporal dynamics, and estimate the redistributive effects of taxes on different commodity categories. Using household-level data from repeated cross-sections of expenditure surveys spanning...

This paper studies the determinants of fuel use in the trucking industry in Denmark, using aggregate time series data for the period 1980–2007. The model captures the main linkages between the demand for freight transport, the characteristics of the vehicle fleet, and the demand for fuel....