Research on container demand analysis and volume forecasting in the hinterlands of Pinglu Canal
- DOI
- 10.2991/978-94-6463-514-0_40How to use a DOI?
- Keywords
- Pinglu Canal; transferred container volume; induced container volume; Attraction-Logit model; improved multi-factor dynamic generation method
- Abstract
In order to solve the problem of measuring the transferred and induced container volume of the new transportation projects, we analyze container demand from a perspective of hinterlands, and divide the advantages of the new transportation projects into the reduction of the transportation costs and time. By applying the rate, we are able to transform the transportation time into a monetary figure, quantifying the cost of time, thereby setting up generalized transportation cost model. We determine the container transferred volume utilizing Attraction-Logit model. We translate the decrease in costs into an increase in foreign trade export value, and leverage the improved multi-factor dynamic generation method to derive the induced container volume. The prediction consequences indicate that by 2050, the container volume is anticipated to arrive at 3967.999 thousand TEUs, of which the transferred container volume will be 3210.685 thousand TEUs, and the induced container volume will arrive to 757.314 thousand TEUs. We find the proportion of transfer traffic and inducement traffic is about 79% and 21%, respectively, and transferred volume dominates container demand. We forecast the container volume to provide effective reference for the future planning of freight transport development in Pinglu Canal.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Junsheng Li AU - Jiaqi Yang PY - 2024 DA - 2024/09/28 TI - Research on container demand analysis and volume forecasting in the hinterlands of Pinglu Canal BT - Proceedings of the 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024) PB - Atlantis Press SP - 400 EP - 408 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-514-0_40 DO - 10.2991/978-94-6463-514-0_40 ID - Li2024 ER -