基于改进核度的城市路网hub节点辨识方法OA

The effective identification of hub nodes in urban road traffic networks is of great significance for emergency evacuation and coordinated control.Existing methods struggle to comprehensively balance topological structure and traffic flow characteristics,and the acquisition of relevant parameters is challenging.This paper,grounded in complex network theory,defines the concepts of improved node degree and node spatial kernel based on roadway attributes,and develops a hub node identification method that integrates topological structure,spatial geographic attributes,and traffic flow characteristics.A regional road network in Changchun City is selected for empirical validation.The results show that the proposed method is consistent with existing methods in hub node identification but yields a more interpretable ranking.Traffic flow simulation results indicate that after a failure of the identified hub node(intersection 2),the network experiences significant degradation in travel time,number of stops,and total delay,with a weighted indicator value of 14.95.If this node fails,the average path distance in the network increases by up to 0.31,and network size is markedly reduced.The proposed identification method based on improved kernel degree can effectively identify hub nodes in urban road networks,offering valuable insights for emergency management,subarea division,and coordinated control of transportation networks.