Environmental issues have received a prominent place in transport policies of most European countries. The coordination of such policies however, is fraught with many difficulties. The increasing freight flows after the European integration are a source of concern, but have not yet led to...

In this paper we analyse interregional freight transport movements in Europe with a view on new spatial patterns based on transport economic scenarios for environmental sustainability. Two different approaches are compared. viz. the logit model and the neural network model. The paper will...

The present paper aims to analyse interregional freight transport movements in Europe with a view on forecasting future patterns of transport flows using simple economic scenarios. In view of the high dimension of our data-base on transport flows, two different approaches are compared, viz. the...

The present paper aims at developing a new research approach based on the synergy concept as a driving force in network analysis and modelling. Starting from some introductory reflections identifying the role of network synergy in regional development and transportation science, the paper aims...

This paper aims to compare the descriptive and predictive power of two classes of statistical estimation models for multimodal network flows, viz. the logit model and the neural network model. The application concerns a large data set on inter-regional European freight flows for two commodity...

The present paper aims to analyse interregional freight transport movements in Europe in order to forecast spatio-temporal patterns of new transport economic scenarios. In view of the high dimension of our data-base on transport flows, two different approaches are compared, viz. the logit model...

Abstract In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. Neural networks are modern statistical tools based on learning algorithms that are able to process large amounts of data. Neural networks are...

This paper develops and applies neural network (NN) models to forecast regional employment patterns in Germany. Computer-aided optimization tools that imitate natural biological evolution to find the solution that best fits the given case (namely, genetic algorithms, GAs) are also used to detect...

International and interregional trade and transport are on the rise and hence, there is a clear needfor reliable estimates of transport flows. However, the available databases and estimation methodsare not yet satisfactory for analytical and predictive purposes.In this paper we explore the use...