Robustness of multimodal passenger transport network in urban agglomeration considering complementary effect
A multimodal passenger transport network model of urban agglomeration was constructed based on complex network theory from the perspective of multiple complementary traffic modes in order to analyze the response ability of urban agglomeration passenger transport networks to emergencies.The gravity model was applied to establish rules for network performance calculation after node failure,and the robustness of the multimodal passenger transport network of urban agglomeration was measured.A dynamic complementary strength index based on robustness was introduced to quantify the complementary effect(CE)between passenger transport networks.The robustness when considering CE was compared,and the degree to which CE improves the robustness value was analyzed.A case study of Guanzhong Plain urban agglomeration was conducted.Results showed that the general railway network was the most robust to unexpected events,and the highway network was the least robust to unexpected events among the multimodal passenger transport networks in urban agglomerations.The robustness of the urban agglomeration multimodal passenger network was significantly improved when CE was considered regardless of the attack strategy.The sensitivity of high-speed rail network,rail network and highway network was decreased by 19.1％,29.3％和 22.0％,respectively.
urban agglomerationmultimodal passenger transport networkcomplex network theoryrobust-nesscomplementary effect
万方数据
维普
