Risk Propagation Evaluation of Logistics Network Based on Freight Information: Taking the Yumman Platform as an Example

A disruption in one region can lead to a disruption of the logistics network with severe economic impacts, especially in critical areas. Therefore, it is essential to assess the dynamics of risk propagation in logistics networks by evaluating their critical nodes. This paper constructs China's logistics network from the perspective of space of flows with the help of freight information, simulates the process of risk propagation in the logistics network, and analyzes the dynamics of risk propagation in the logistics network through the cascade failure model in order to study the extent of risk propagation's impact on the logistics supply of each region in China. In this paper, we innovatively propose to determine the criticality of a node by the degree of the node in an avalanche network. In this study, constructing a logistics network model utilizes logistics truck scheduling data on the Yumman platform, and the following conclusions were drawn: (1) the node in the logistics network with the most significant DC values does not always affect the region with the most risk; (2) indirect edges in the logistics network play a significant role in the cascading failure process; (3) Shanghai plays a pivotal role in the national logistics network; (4) disruptions in the east and west hub cities will cause the logistics network in the western region to become paralyzed.