TY - JOUR
T1 - Comparative Modelling of Interregional Transport Flows: Application to Multimodal European Freight Transport
AU - Nijkamp, P.
AU - Reggiani, A
AU - Tsang, W.F.
PY - 2004
Y1 - 2004
N2 - This paper aims to compare the descriptive and predictive power of two classes of statistical estimation models for multimodal network flows, viz. the family of discrete choice models (i.e., logit and probit models) and the neural network model. The application concerns a large dataset on interregional European freight flows for two commodity categories (food and chemicals). After a concise exposition of policy issues, methodological and modelling questions and the database, a variety of experiments is carried out. The results show that in general the predictive potential of neural network models is higher than that of discrete choice analysis. The statistical results are also used to investigate the implications of various road charge systems (e.g., eco-taxes) on specific spatial segments of the European road network. © 2003 Elsevier B.V. All rights reserved.
AB - This paper aims to compare the descriptive and predictive power of two classes of statistical estimation models for multimodal network flows, viz. the family of discrete choice models (i.e., logit and probit models) and the neural network model. The application concerns a large dataset on interregional European freight flows for two commodity categories (food and chemicals). After a concise exposition of policy issues, methodological and modelling questions and the database, a variety of experiments is carried out. The results show that in general the predictive potential of neural network models is higher than that of discrete choice analysis. The statistical results are also used to investigate the implications of various road charge systems (e.g., eco-taxes) on specific spatial segments of the European road network. © 2003 Elsevier B.V. All rights reserved.
U2 - 10.1016/j.ejor.2003.08.007
DO - 10.1016/j.ejor.2003.08.007
M3 - Article
SN - 0377-2217
VL - 185
SP - 584
EP - 602
JO - European Journal of Operational Research
JF - European Journal of Operational Research
ER -