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Examines the estimation of motorway accidents in northern Italy by using an artificial neural network. Difficulty involved in the interpretation of accident data; Details on the artificial neural network approach; Results on the amount of data needed to attain the goal of defining accident probabilities.

Analyzes the modal split between rail and road transport modes in Italy in relation to the introduction of the High Speed Train. Considerations on the use of neural networks in transport economics; Description of a case study; Provision of a reasonable spatial forecasting in the two models.