Market demand forecasting for container rail-sea express line transportation

Shoukan Han

doi:10.1117/12.3012232

21 December 2023 Market demand forecasting for container rail-sea express line transportation

Shoukan Han

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 1297019 (2023) https://doi.org/10.1117/12.3012232
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

This study uses the important container rail-sea intermodal transport areas in China as the research area, and gets data through visiting research and network query to investigate the change in container rail-sea intermodal transport demand under the new development pattern. The generation and distribution of container freight in the source area are investigated using the 'four-stage' method. The market competitiveness of rail-sea intermodal transport is then investigated and assessed, and the Logit-based share rate model is developed to forecast the flow and direction of container rail-sea intermodal transport in the source area. Finally, the market share rate of container rail-sea intermodal transportation under various situations is investigated by varying the price and capacity level of container transportation.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shoukan Han "Market demand forecasting for container rail-sea express line transportation", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 1297019 (21 December 2023); https://doi.org/10.1117/12.3012232

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