The identification of key nodes plays an important role in improving the robustness of the transportation network.For different types of transportation networks,the effect of the same identification method may be diff...The identification of key nodes plays an important role in improving the robustness of the transportation network.For different types of transportation networks,the effect of the same identification method may be different.It is of practical significance to study the key nodes identification methods corresponding to various types of transportation networks.Based on the knowledge of complex networks,the metro networks and the bus networks are selected as the objects,and the key nodes are identified by the node degree identification method,the neighbor node degree identification method,the weighted k-shell degree neighborhood identification method(KSD),the degree k-shell identification method(DKS),and the degree k-shell neighborhood identification method(DKSN).Take the network efficiency and the largest connected subgraph as the effective indicators.The results show that the KSD identification method that comprehensively considers the elements has the best recognition effect and has certain practical significance.展开更多
The efficient,reliable,and sustainable nature of a transportation system is a prerequisite to support the development of urban agglomeration.This paper proposes network modeling and resilience assessment methods for p...The efficient,reliable,and sustainable nature of a transportation system is a prerequisite to support the development of urban agglomeration.This paper proposes network modeling and resilience assessment methods for public transportation in urban agglomerations.A multi-layer network is constructed.With the identification of the key nodes in a multi-modal transportation network(MMTN),a resilience assessment method is proposed that considers two phases:absorption and recovery after an attack.The Beijing-Tianjin-Hebei urban agglomeration network is taken as a case study.The results show that the attack on key nodes brings more influence to MMTN than random attacks.More attention is suggested to be paid to the larger hub-type stations in operation and management.The proposed method can be applied in different types of urban agglomerations and serve as technical support for reducing the disorder and imbalance of MMTN.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.61961019)the Youth Key Project of the Natural Science Foundation of Jiangxi Province of China(Grant No.20202ACBL212003).
摘要The identification of key nodes plays an important role in improving the robustness of the transportation network.For different types of transportation networks,the effect of the same identification method may be different.It is of practical significance to study the key nodes identification methods corresponding to various types of transportation networks.Based on the knowledge of complex networks,the metro networks and the bus networks are selected as the objects,and the key nodes are identified by the node degree identification method,the neighbor node degree identification method,the weighted k-shell degree neighborhood identification method(KSD),the degree k-shell identification method(DKS),and the degree k-shell neighborhood identification method(DKSN).Take the network efficiency and the largest connected subgraph as the effective indicators.The results show that the KSD identification method that comprehensively considers the elements has the best recognition effect and has certain practical significance.
摘要The efficient,reliable,and sustainable nature of a transportation system is a prerequisite to support the development of urban agglomeration.This paper proposes network modeling and resilience assessment methods for public transportation in urban agglomerations.A multi-layer network is constructed.With the identification of the key nodes in a multi-modal transportation network(MMTN),a resilience assessment method is proposed that considers two phases:absorption and recovery after an attack.The Beijing-Tianjin-Hebei urban agglomeration network is taken as a case study.The results show that the attack on key nodes brings more influence to MMTN than random attacks.More attention is suggested to be paid to the larger hub-type stations in operation and management.The proposed method can be applied in different types of urban agglomerations and serve as technical support for reducing the disorder and imbalance of MMTN.