Proceedings of the 3rd International Conference on Internet Finance and Digital Economy (ICIFDE 2023)

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Algorithm research and empirical analysis of container transportation production prosperity index in China

Authors
Weiwei Qiu1, Jishuang Zhu1, *, Xinzi Wang2
1China Waterborne Transport Research Institute, Beijing, 100088, China
2Research Institute of Highway Ministry of Transport, Beijing, 100088, China
*Corresponding author. Email: Zhujishuang2004@163.com
Corresponding Author
Jishuang Zhu
Available Online 29 October 2023.
DOI
10.2991/978-94-6463-270-5_19How to use a DOI?
Keywords
container transportation production; shipping; AIS; vector auto-regression model; index; time difference correlation analysis method
Abstract

Shipping is an important channel for the international trade transport goods and one of the basic industries of the national economy. With the gradual transformation of China’s water transport industry to high-quality development, the development goals of the port container transport need to be guided by more scientific and accurate indicators. Based on AIS data and big data methods, this research uses the Vessels arriving at port, ship type and tonnage as the measurement indicators of port container production prosperity, constructing the container transportation production prosperity index (CTPPI), and use time difference correlation and vector auto-regressive mode to do empirical analysis. The results will provide quantitatively support for the industry authorities to study and judge the development form of coastal ports.

Copyright
© 2023 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.

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Volume Title
Proceedings of the 3rd International Conference on Internet Finance and Digital Economy (ICIFDE 2023)
Series
Atlantis Highlights in Economics, Business and Management
Publication Date
29 October 2023
ISBN
978-94-6463-270-5
ISSN
2667-1271
DOI
10.2991/978-94-6463-270-5_19How to use a DOI?
Copyright
© 2023 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

risenwbib
TY  - CONF
AU  - Weiwei Qiu
AU  - Jishuang Zhu
AU  - Xinzi Wang
PY  - 2023
DA  - 2023/10/29
TI  - Algorithm research and empirical analysis of container transportation production prosperity index in China
BT  - Proceedings of the 3rd International Conference on Internet Finance and Digital Economy (ICIFDE 2023)
PB  - Atlantis Press
SP  - 176
EP  - 187
SN  - 2667-1271
UR  - https://doi.org/10.2991/978-94-6463-270-5_19
DO  - 10.2991/978-94-6463-270-5_19
ID  - Qiu2023
ER  -