Integrated Modeling of the European Trade and Transport Network



Integrated Modeling of the European Trade and Transport Network

Authors

Jinxue Hu, TNO (Netherlands Organization for Applied Scientific Research), Dr. Olga Ivanova, TNO (Netherlands Organization for Applied Scientific Research)

Description

Trade and transport statistics are two sides of the same coin. Ideally we would like to have the data on the trade flow between two countries in combination with the information about the split of this flow between various (multi-modal) routes linking the pair of countries. In reality trade and transport statistics are quite difficult to match due to differences in methodology for data collection and the use of surveys. In particular transport statistics show us only the location of loading and unloading and does not say anything about origin and destination of the commodity flows. Trade data provides information on the origin and destination of the flows but may also include re-exports and transit flows. The unification and reconciliation of transport and trade statistics is of great value to both policy makers and the scientific community. The methodological approach presented in the present paper attempts to combine trade and transport data into a single consistent multi-commodity and multi-modal freight OD matrix for Europe. We apply logit shares for route choice in combination with a cross-entropy function in order to find the optimal trade-off between available trade and transport statistics. The result of this exercise is the identification of the transhipment flows and pure trade flows for the intra and extra-European trade. The methodology presented in this paper has been developed within the framework of the ETIS-Plus project for DG MOVE.

Abstract

Trade and transport statistics are two sides of the same coin. Ideally we would like to have the data on the trade flow between two countries in combination with the information about the split of this flow between various (multi-modal) routes linking the pair of countries. In reality trade and transport statistics are quite difficult to match due to differences in methodology for data collection and the use of surveys. In particular transport statistics show us only the location of loading and unloading and does not say anything about origin and destination of the commodity flows. Trade data provides information on the origin and destination of the flows but may also include re-exports and transit flows. The unification and reconciliation of transport and trade statistics is of great value to both policy makers and the scientific community. The methodological approach presented in the present paper attempts to combine trade and transport data into a single consistent multi-commodity and multi-modal freight OD matrix for Europe. We apply logit shares for route choice in combination with a cross-entropy function in order to find the optimal trade-off between available trade and transport statistics. The result of this exercise is the identification of the transhipment flows and pure trade flows for the intra and extra-European trade. The methodology presented in this paper has been developed within the framework of the ETIS-Plus project for DG MOVE.

Publisher

Association for European Transport