A Study on the Gradient Classification of Logistics Development Level in 31 Provinces and Cities Based on Partial Order Set
- DOI
- 10.2991/978-94-6463-256-9_66How to use a DOI?
- Keywords
- Logistics level; echelon; Partial ordered set; Hasse diagram
- Abstract
Logistics in developed areas can pull the remote areas, with very obvious gradient characteristics. To intuitively reflect the gradient characteristics of logistics development level in 31 provinces and cities in China, the partial order set evaluation method is applied to obtain the partial order Hasse diagram that can reflect the evaluation results from the two aspects of logistics development foundation and the degree of logistics development. The Hasse chart shows that 31 provinces and cities are divided into ten levels, with Guangdong, Jiangsu, and Shandong at the top of the ladder, and Tibet and Qinghai at the end of the gradient. Studies have found that the level of logistics development was significantly correlated with the economic GDP of each province, with a correlation coefficient of 0.953.
- 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 - Maojun Cao AU - Chen Yuan AU - Lizhu Yue PY - 2023 DA - 2023/10/09 TI - A Study on the Gradient Classification of Logistics Development Level in 31 Provinces and Cities Based on Partial Order Set BT - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) PB - Atlantis Press SP - 644 EP - 656 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-256-9_66 DO - 10.2991/978-94-6463-256-9_66 ID - Cao2023 ER -