Research on the resilience of seaport-dry port container transportation network

Abstract

With the growth of domestic trade transportation, the role of the dry port in the hinterland becomes more and more obvious, and the proportion of railway transportation between seaport and dry port is also growing gradually in domestic trade transportation. In this paper, the water-rail composite network and its waterway sub-network and railway sub-network are established. The topological index of three networks are calculated and compared on the basis of complex networks. Through the weighted processing of degree centrality, betweenness centrality and closeness centrality, the connectivity score of each port is obtained, and the key nodes of the network and their importance ranking are summarized. The change trend of the robustness index of the composite network is simulated under the two modes of random attack and malicious attack. After the network is damaged in different degrees, the ITAE value is introduced to measure the recovery effect of different recovery strategies. The research results show that the recovery effect of degree centrality-based recovery strategy and betweenness centrality-based recovery strategy is relatively similar, while the recovery effect of closeness centrality-based recovery strategy is not as good as the first two, so optimizing the sequence of ports being recovered will improve the overall recovery efficiency of the networks. The resilience of the network is improved by analyzing the robustness and recovery of the network.