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...

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...

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...

The present paper aims to analyse the research potential of Evolutionary Algorithms (EAs) in the light of their possible applications in the space-economy. For this purpose the first part of the paper will be devoted to an overview and illustration of EAs, also in comparison with other recent...

The aim of the present paper is to forecast regional employment developments in the 327 West-German districts. Using a Neural Networks (NNs) methodology we try to identify the existence of underlying structural relationships between the input variables - data on regional and sectoral employment...