Urban rail transit network plays a key role in urban transportation system as an important travel mode to alleviate traffic congestion. This paper is based on complex network theory, considering the factors such as departure interval to travel time as the weight of network connecting edges, using Space-L method to establish a weighted complex network topology model of urban rail transit considering interchange stations, proposing comprehensive evaluation indexes to identify the key points of nodes in the network, and analyzing the topological characteristics and robustness of the weighted complex network under random and intentional attacks by taking Xi'an city rail transit network as an example. The topological characteristics and robustness of the weighted complex network under random and deliberate attacks are analyzed. The following conclusions can be drawn from the example analysis of Xi'an urban rail transit network: (1) when attacking the network nodes, the deliberate attack causes more impact than the random attack; (2) the comprehensive evaluation indexes cover the node degree and meson number, which can be effective in the identification of key nodes of the network; (3) the Xi'an urban rail transit network is still in the stage of construction When the key nodes are attacked, the network is easier to be paralyzed, and the network robustness can be further improved by adopting protection measures for the key nodes when constructing the urban rail transit network.
No takes yet. Share an insight, caveat, or question.
Chen et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: