Results

Assessing Inland Waterway Transport (IWT) container logistics on the Rhine Alpine corridor: A discrete event simulation approach

Journal: Research in Transportation Economics

Abstract:

Inland Waterway Transport (IWT) is pivotal for hinterland freight logistics, connecting numerous inland terminals with major deep-sea ports. Despite its significant advantages in cargo capacity and environmental sustainability, it remains underutilized due to operational inefficiencies, diminishing its competitive edge compared to road and rail transport. Addressing these challenges requires innovative solutions, yet existing studies often neglect to evaluate these innovations and their interactions within the broader IWT logistics framework and other transport modes.

This study bridges these gaps by introducing a comprehensive Discrete Event Simulation (DES) model to capture the dynamic interactions within the IWT logistics system, its interplay with other transport modes, and the potential impact of innovative measures on IWT performance. The model simulates the current container logistics system along the Rhine-Alpine (RALP) corridor, incorporating key elements such as cost-time calculations, transport mode selection, network flow allocation, and the assessment of IWT innovations.

The methodological framework and architecture of the DES model are presented, emphasizing verification and validation processes to ensure accuracy and reliability. The model outputs a network-wide analysis of the current IWT logistics system, examining mode split, cost, time, emissions, distance, and the interrelationships among these factors. This analysis serves as a benchmark for evaluating the effects of various innovative strategies on IWT performance.

By employing the DES methodology, this research advances the understanding of container IWT logistics, providing critical insights for stakeholders and policymakers. It evaluates the current performance of container IWT in the RALP corridor and identifies opportunities to improve the efficiency and competitiveness of container IWT.