Abstract：The resilience of multimodal transportation networks in urban agglomerations to attacks was analyzed using a network structural resilience assessment model based on complex network theory and resilient city theory which considered the absorbing capacity, buffering ability and recovery ability of the networks. The network resilience was calculated by a space vector modulus. Data for road and railway passenger transport between cities in the Guanzhong Plain urban agglomeration (GZP agglomeration) was used to construct the regional transportation network. The topological characteristics of the multimodal transportation network were then analyzed using the ArcGis and Ucinet tools. Each node's geographical location and transport connections with the surrounding area were used to identify key nodes based on the node importance. Analyses of the effects of attacks on these key nodes in the multimodal transportation network showed that the network had poor buffering ability, especially after failure of the Caijiapo station when the buffer value decreased to 0.388 9. The system had very weak ability to return to the normal state after a site with a large node degree failed. Failures of the general railway station and the high-speed rail station had far greater impacts on the structural resilience than failure of the highway terminals. Analysis of the characteristics of the key nodes led to suggestions for improving the network structure resilience.
马书红, 武亚俊, 陈西芳. 城市群多模式交通网络结构韧性分析——以关中平原城市群为例[J]. 清华大学学报（自然科学版）, 2022, 62(7): 1228-1235.
MA Shuhong, WU Yajun, CHEN Xifang. Structural resilience of multimodal transportation networks in urban agglomerations: A case study of the Guanzhong Plain urban agglomeration network. Journal of Tsinghua University(Science and Technology), 2022, 62(7): 1228-1235.
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2022, Vol. 62 
