Abstract
The structural characteristics and robustness of subway networks are important for improving the safety and efficiency of subway operations. Based on complex network theory, this study analyzed the structural characteristics of the Hefei subway network and evaluated its robustness after suffering from accidents. Specifically: (1) A model of the Hefei subway network was established using the space-L method, and its topological structural characteristics were quantitatively analyzed; (2) An improved cascading failure simulation model was established, and a node importance evaluation system was developed to identify the critical nodes in the Hefei subway network; (3) A simulation analysis was conducted to evaluate the robustness of the Hefei subway network under different scenarios. The results show that the Hefei subway network is different from a scale-free network and small-world network, and the structure was most severely damaged when facing attacks against critical nodes in the cascading failure scenario. Moreover, as the value of the parameter of the control node capacity in the cascade failure model varied, the degree of damage to the subway network also varied considerably. We believe that the results obtained from the study could provide a reference for the construction and planning of the subway network.
Funder
Scientific Research Project of Education Department of Liaoning Province
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference34 articles.
1. Analysis of robustness of bus and subway interdependent network based on the complex network theory;Bao;J. Southwest China Norm. Univ. Nat. Sci. Ed.,2017
2. Vulnerability analysis of urban metro transit based on complex network theory: A case study of Shanghai metro;Xing;Public Transp.,2017
3. Shi, J.G., Wen, S.P., Zhao, X.B., and Wu, G. (2019). Sustainable development of urban rail transit networks: A vulnerability perspective. Sustainability, 11.
4. Zhang, J.H., Wang, Z., Wang, S., Luan, S., and Shao, W. (2020). Vulnerability assessments of urban rail transit networks based on redundant recovery. Sustainability, 12.
5. Topologic characteristics and sustainable growth of worldwide urban rail networks;Ding;Int. J. Mod. Phys. B,2021
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献