互补效应下城市群多制式交通网络鲁棒性研究OA

[Objective]The urban agglomeration transport network is affected by risks such as internal failure,natural disasters,or man-made destruction,which can easily lead to functional fragmentation,making it difficult to meet the needs of safe development of regional economic and society.Therefore,how to improve the capability of urban agglomeration transport network to respond to emergencies is an important and practical issue that needs to be addressed urgently.[Methods]First,based on complex network theory,the network complementary rules were clarified,and the multi-modal transport network in urban agglomerations was constructed.Then,the gravity model was used to calculate network performance after node failure and measure the robustness of the urban agglomeration multi-modal transport network.By simulating two scenarios—random attack and deliberate attack—the impact of node failure on network performance was analyzed,and the effect of observation information ambiguity on network robustness was further explored.Finally,taking the highways and railways of the Shandong Peninsula urban agglomeration as an example,the impact of node failure on the robustness of urban agglomeration transport networks was compared and analyzed with and without considering the complementary effect.[Results]The results showed that:(1)the robustness of the highway network and the general railway networks was stronger,while that of the high-speed railway network was weaker,regardless of whether the complementary effect was considered or not.(2)The change in the robustness of the urban agglomeration transport network was more significant under deliberate attack than under random attack.(3)The decline rate of network robustness slowed down with the increase in the ambiguity of observation information,regardless of whether the complementary effect was considered or not.[Conclusion]By constructing a multi-modal transport network and analyzing its robustness,this study aims to provide theoretical support for the safety and stability of regional transport systems.