Container transport has grown very rapidly worldwide and in the coming decades also a substantial, above average, growth is foreseen in this type of freight transport. Container transport is also one of the least captive cargo types, and ports and governments are responding to this with large...

Many European regions do not have traffic models that have been calibrated on data for that specific region. For such national and regional authorities that would like to have a first approximation of the travel demand impacts of changes in car cost and car travel times, the outcomes of the...

Duration models are still very uncommon in transportation analysis, although they have been extensively applied in some other fields (medicine, labour market economics). The model system developed in this paper contains several submodels, one of them being a duration model for the time elapsed...

This paper contains a review of the literature on freight transport models, focusing on the types of models that have been developed since the 1990s for forecasting, policy simulation and project evaluation at the national and international levels. Models for production, attraction,...

Car ownership models found in the academic literature (with a focus on the recent literature and on models developed for transport planning) are classified into a number of model types. The different model types are compared on a number of criteria: inclusion of demand and supply side of the car...

In freight transportation, decisions regarding the choice of transport mode (or chains of modes) and shipment size are closely linked. Building on this basic insight, in this paper we estimate and review various joint econometric models using the Swedish National Commodity Flow surveys. Robust...

There is scope for applying experimental economics in transport and logistics analysis. Experimental economics is a set of techniques for gathering (and analysing) data by inducing people (through specific rewards) to act as economic agents and observing the choices they then make in...

The calibration of choice models produces a set of parameter estimates and an associated covariance matrix, usually based on maximum likelihood estimation. However, in many cases, the values of interest to analysts are in fact functions of these parameters rather than the parameters themselves....