Issue |
RAIRO-Oper. Res.
Volume 59, Number 4, July-August 2025
|
|
---|---|---|
Page(s) | 1841 - 1864 | |
DOI | https://doi.org/10.1051/ro/2025077 | |
Published online | 23 July 2025 |
Risk propagation evaluation of logistics network based on online freight information: taking the Yumman platform as an example
1
School of Business, Nanjing Audit University, Nanjing 211815, P.R. China
2
Research Center of Information Industry Integrated Innovation and Emergency Management of Management College, Institute of High-quality Development Evaluation, Nanjing University of Posts and Telecommunications, Nanjing 210023, P.R. China
3
School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212003, P.R. China
* Corresponding author: 270551@nau.edu.cn
Received:
8
May
2024
Accepted:
6
June
2025
A disruption in one region can lead to a disruption of the logistics network with severe economic impacts. In this study, we construct China’s logistics network from the perspective of space of flows with the help of online freight information on the Yumman platform, and analyzes the dynamics of risk propagation in the logistics network through the cascading failure model. The results show that: (1) nodes with generally high centrality values of various kinds have the potential to trigger large-scale avalanches when they act as sources of risk propagation; (2) indirect edges in the logistics network play a significant role in the cascading failure process; (3) a load capacity higher than 1.4 times the volume of material flow is an effective means of preventing unexpected risks in Shanghai; and (4) disruptions in the east and west hub cities will cause the logistics network in the western region to become paralyzed.
Mathematics Subject Classification: 90B06 / 05C82 / 37N25 / 93A30 / 91D30
Key words: Logistics network / evaluation / social network analysis / risks propagation / cascading failure
© The authors. Published by EDP Sciences, ROADEF, SMAI 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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