Key Node Identification and Toughness Analysis of China Railway Express Transportation Network

Abstract

The Chin-Europe Railway Express transportation network (CRETN) is a core component of the "Belt and Road Initiative". The identification of its key nodes and toughness assessment are crucial for enhancing the network's risk resistance capacity. This study proposes a key node identification method based on the CRITIC-TOPSIS method, comprehensively evaluates the importance of nodes by combining multiple indicators such as degree centrality and betweenness centrality, and constructs a dynamic toughness assessment model to quantitatively analyze the impact of attack and recovery strategies on network performance. Research shows that: (1) The network density (0.0037) and efficiency (0.0511) of the CRETN are relatively low, presenting a sparse structure and inefficient information transmission; (2) The CRITIC-TOPSIS method can effectively identify key hubs such as Xi 'an and Moscow. Its failure will lead to a sharp decline in network toughness (the minimum toughness of the IARR model is 0.1938). (3) Prioritizing the recovery of the IR mode of key nodes can significantly enhance toughness (the toughness of the JAIR mode can reach up to 1). It is suggested to strengthen the protection of key nodes and the connection between stations in the CRETN, providing theoretical support for network optimization.