Paper
23 May 2023 Analysis of statistical data of the local-oriented freight volume of inland water transport in China
Fuyou Huang, Bin Chen
Author Affiliations +
Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126041C (2023) https://doi.org/10.1117/12.2674844
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China
Abstract
In this paper, we propose the concept of local-oriented freight volume of inland water transport, which can reflect the inland waterway transportation level in a province or a city more truly and objectively. Based on the characteristics of China’s inland water transport, the local-oriented freight transportation can be broken down into two parts: short-distance transportation and long-distance transportation. The freight volume of short-distance transportation can be captured in existing statistical reports, the freight volume of long-distance transportation can be calculated through the basic data of report system for ships entering and leaving ports. We take Sichuan province as an example, and investigate the correlation between local-oriented freight volume and GDP. The results show that the correlation between local-oriented freight volume and GDP is higher than that between published freight volume and GDP, this indicates that the localoriented freight volume and its statistical method proposed in this paper is feasible and applicable.
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Fuyou Huang and Bin Chen "Analysis of statistical data of the local-oriented freight volume of inland water transport in China", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126041C (23 May 2023); https://doi.org/10.1117/12.2674844
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KEYWORDS
Transportation

Statistical methods

Statistical analysis

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