| Issue |
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
|
|
|---|---|---|
| Article Number | 06024 | |
| Number of page(s) | 5 | |
| Section | Electrical and Power Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202016506024 | |
| Published online | 01 May 2020 | |
Research on Optimization of Port Container Inland Collection and Distribution Network
* School of Traffic and Transportation, Postgraduate, Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing 100044, China
1 School of Traffic and Transportation, Associate dean, Master Instructor, Beijing Jiaotong University, No.3 Shangyuancun, Haidian District, Beijing 100044, China
* Corresponding author: 18120904@bjtu.edu.cn
With the advancement of country’s “the Belt and Road” strategy, each port is actively formulating development strategies to help implement the strategy. The port inland collection and distribution network is an important guarantee for the development of the port, and it is a key component to promote the connection between the port and the inland hinterland. It has an important role in expanding the scale of the port and improving the overall competitiveness of the port. Aiming at the current imbalance of the collection and distribution methods and the imperfect collection and distribution networks in most ports, this paper establishes an optimal model of collection and distribution network costs and quantitatively optimizes the collection and distribution network corridors. The Tianjin Port is selected as a case study object. And the MATLAB software is used to solve the analysis. The conclusion is that Tianjin Port could alleviate the pressure of the collection and distribution network by increasing the density of container trains with the hinterland cities, which verified the validity of the model.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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