Analysis of cascading failure induced by load fluctuation and robust station capacity assignment for metros

References

• Ash, J., and D. Newth. 2007. “Optimizing Complex Networks for Resilience Against Cascading Failure.” Physica A: Statistical Mechanics and Its Applications 380: 673–683.
   Google Scholar
• Burstedde, C., K. Klauck, A. Schadschneider, and J. Zittartz. 2001. “Simulation of Pedestrian Dynamics Using a Two-Dimensional Cellular Automaton.” Physica A: Statistical Mechanics and Its Applications 295: 507–525.
   Google Scholar
• Cats, O., A. Ermeulen, M. Warnier, and H. van Lint. 2020. “Modelling Growth Principles of Metropolitan Public Transport Networks.” Journal of Transport Geography 82: 102567.
   Google Scholar
• Cats, O., and S. Gluck. 2019. “Frequency and Vehicle Capacity Determination Using a Dynamic Transit Assignment Model.” Transportation Research Record 2673 (3): 574–585.
   Google Scholar
• Cats, O., and P. Krishnakumari. 2020. “Metropolitan Rail Network Robustness.” Physica A: Statistical Mechanics and Its Applications 549: 124317.
   Google Scholar
• Cruz, F. R. B., T. van Woensel, J. M. Smith, and K. Lieckens. 2010. “On the System Optimum of Traffic Assignment in M/G/c/c State-Dependent Queueing Networks.” European Journal of Operational Research 201 (1): 183–193.
   Google Scholar
• Derrible, S., and C. Kennedy. 2010. “Characterizing Metro Networks: State, Form and Structure.” Transportation 37: 275–297.
   Google Scholar
• Dorfman, M. J., and J. Medanic. 2004. “Scheduling Trains on a Railway Network Using a Discrete Event Model of Railway Traffic.” Transportation Research Part B-Methodological 38 (1): 81–98.
   Google Scholar
• Fan, Y., F. Zhang, S. H. Jiang, C. Gao, Z. W. Du, Z. Wang, and X. H. Li. 2020. “Dynamic Robustness Analysis for Subway Network with Spatiotemporal Characteristic of Passenger Flow.” IEEE Access 8: 45544–45555.
   Google Scholar
• Goldbeck, N., P. Angeloudis, and W. Y. Ochieng. 2019. “Resilience Assessment for Interdependent Urban Infrastructure Systems Using Dynamic Network Flow Models.” Reliability Engineering and System Safety 188 (2019): 62–79.
   Google Scholar
• Hänseler, F. S., J. P. A. van den Heuvel, O. Cats, W. Daamen, and S. P. Hoogendoorn. 2020. “A Passenger-Pedestrian Model to Assess Platform and Train Usage from Automated Data.” Transportation Research Part A-Policy and Practice 132: 948–968.
   Google Scholar
• Helbing, D., I. Farkas, and T. Vicsek. 2000. “Simulating Dynamical Features of Escape Panic.” Nature 407 (6803): 487–490.
   Google Scholar
• Huang, A. L., H. M. Zhang, W. Guan, Y. Yang, and G. Q. Zong. 2015. “Cascading Failures in Weighted Complex Networks of Transit Systems Based on Coupled Map Lattices.” Mathematical Problems in Engineering 3: 1–16.
   Google Scholar
• Huang, J. J., F. Zhou, and M. R. Xi. 2018. “Calculation Method for Load Capacity of Urban Rail Transit Station Considering Cascading Failure.” Journal of Advanced Transportation 2018: 1–12. Article ID 6318516.
   Google Scholar
• Huisman, T., R. J. Boucherieb, and N. M. van Dijka. 2002. “A Solvable Queueing Network Model for Railway Networks and Its Validation and Applications for the Netherlands.” European Journal of Operational Research 142 (1): 30–51.
   Google Scholar
• Jenelius, E., and O. Cats. 2015. “The Value of New Public Transport Links for Network Robustness and Redundancy.” Transportmetrica A 11 (9): 819–835.
   Google Scholar
• Jovanović, P., N. Pavlović, I. Belošević, and S. Milinković. 2020. “Graph Coloring-Based Approach for Railway Station Design Analysis and Capacity Determination.” European Journal of Operational Research 287: 348–360.
   Google Scholar
• Kaakai, F., S. Hayat, and A. El Moudni. 2007. “A Hybrid Petri Netsbased Simulation Model for Evaluating the Design of Railway Transit Stations.” Simulation Modelling Practice and Theory 15 (8): 35–969.
   Google Scholar
• Kecman, P., F. Corman, A. D’Ariano, and R. Goverde. 2013. “Rescheduling Models for Railway Traffic Management in Large-Scale Networks.” Public Transport 5: 95–123.
   Google Scholar
• Khattak, A., Y. Jiang, and M. M. Abid. 2018. “Optimal Configuration of the Metro Rail Transit Station Service Facilities by Integrated Simulation-Optimization Method Using Passengers’ Flow Fluctuation.” Arabian Journal for Science and Engineering 43 (10): 5499–5516.
   Google Scholar
• Liu, M. J., T. M. Zeng, X. G. Wu, L. M. Zhang, and W. L. Fang. 2015. “Simulation Analysis of Subway Station Assemble Capacity on the Layout of Facilities.” International Conference on Mechanics, Building Material and Civil Engineering (MBMCE), Guilin, 971–976.
   Google Scholar
• Lu, J., G. Ren, and L. H. Xu. 2020. “Analysis of Subway Station Distribution Capacity Based on Automatic Fare Collection Data of Nanjing Metro.” Journal of Transportation Engineering Part A-Systems 146 (2): 04019067.
   Google Scholar
• Ma, F., Y. Liang, K. F. Yuen, Q. P. Sun, Y. J. Zhu, Y. X. Wang, and W. J. Shi. 2020. “Assessing the Vulnerability of Urban Rail Transit Network Under Heavy Air Pollution: A Dynamic Vehicle Restriction Perspective.” Sustainable Cities and Society 52: 101851.
   Google Scholar
• Ma, F., F. Liu, K. F. Yuen, P. Lai, Q. P. Sun, and X. D. Li. 2019. “Cascading Failures and Vulnerability Evolution in Bus-Metro Complex Bilayer Networks Under Rainstorm Weather Conditions.” International Journal of Environmental Research and Public Health 16 (3): 329.
   Google Scholar
• Meloni, S., J. Gómez-Gardeñes, V. Latora, and Y. Moreno. 2008. “Scaling Breakdown in Flow Fluctuations on Complex Networks.” Physical Review Letters 100 (20): 208701.
   Google Scholar
• Menezes, M. A. D., and A. L. Barabási. 2004. “Fluctuations in Network Dynamics.” Physical Review Letters 92: 028701.
   Google Scholar
• Mizutaka, S., and K. Yakubo. 2020. “Robustness of scale-free networks to cascading failures induced by fluctuating loads.” Physical Review E 92: 012814.
   Google Scholar
• Motter, A. E. 2004. “Cascade Control and Defense in Complex Networks.” Physical Review Letters 93: 098701.
   Google Scholar
• Pagani, A., G. Mosquera, A. Alturki, S. Johnson, S. Jarvis, A. Wilson, W. Guo, and L. Varga. 2019. “Resilience or Robustness: Identifying Topological Vulnerabilities in Rail Networks.” Royal Society Open Science 6 (2): 181301.
   Google Scholar
• Pan, H. C., and Z. G. Liu. 2017. “A Queuing Network Based Optimization Model for Calculating Capacity of Subway Station.” Discrete Dynamics in Nature and Society 2017: 1–7. Article ID 4825802.
   Google Scholar
• Rodriguez-Nunez, E., and J. C. Garcia-Palomares. 2014. “Measuring the Vulnerability of Public Transport Networks.” Journal of Transport Geography 35: 50–63.
   Google Scholar
• Seriani, S., and R. Fernandez. 2015. “Pedestrian Traffic Management of Boarding and Alighting in Metro Stations.” Transportation Research Part C-Emerging Technologies 53: 76–92.
   Google Scholar
• Shen, Y., G. Ren, and B. Ran. 2019. “Cascading Failure Analysis and Robustness Optimization of Metro Networks Based on Coupled Map Lattices: A Case Study of Nanjing, China.” Transportation. doi:10.1007/S11116-019-10066-Y
   Google Scholar
• Shen, Y., G. Ren, N. Zhang, G. H. Song, Q. Wang, and B. Ran. 2020b. “Effects of Mutual Traffic Redistribution on Robustness of Interdependent Networks to Cascading Failures Under Fluctuant Load.” Physica A: Statistical Mechanics and Its Applications 560: 125138.
   Google Scholar
• Shen, Y., G. H. Song, H. L. Xu, and Y. C. Xie. 2020a. “Model of Node Traffic Recovery Behavior and Cascading Congestion Analysis in Networks.” Physica A: Statistical Mechanics and Its Applications 545: 123422.
   Google Scholar
• Shi, C. L., M. H. Zhong, X. Z. Nong, L. He, J. H. Shi, and G. G. Feng. 2012. “Modeling and Safety Strategy of Passenger Evacuation in a Metro Station in China.” Safety Science 50 (5): 1319–1332.
   Google Scholar
• Sienkiewicz, J., and J. A. Holyst. 2005. “Statistical Analysis of 22 Public Transport Networks in Poland.” Physical Review E 72 (4): 046127.
   Google Scholar
• Sugishita, K., and Y. Asakura. 2020. “Vulnerability Studies in the Fields of Transportation and Complex Networks: A Citation Network Analysis.” Public Transport. doi:10.1007/s12469-020-00247-9
   Google Scholar
• Sun, D., and S. Guan. 2016. “Measuring Vulnerability of Urban Metro Network from Line Operation Perspective.” Transportation Research Part A-Policy and Practice 94: 348–359.
   Google Scholar
• Sun, L. S., Y. C. Huang, Y. Y. Chen, and L. Y. Yao. 2018. “Vulnerability Assessment of Urban Rail Transit Based on Multi-Static Weighted Method in Beijing, China.” Transportation Research Part A-Policy and Practice 108: 12–24.
   Google Scholar
• Sun, H. J., J. J. Wu, H. N. Ma, X. Yang, and Z. Y. Gao. 2019. “A Bi-Objective Timetable Optimization Model for Urban Rail Transit Based on the Time-Dependent Passenger Volume.” IEEE Transactions on Intelligent Transportation Systems 20 (2): 604–615.
   Google Scholar
• Sun, D., Y. H. Zhao, and Q. C. Lu. 2015. “Vulnerability Analysis of Urban Rail Transit Networks: A Case Study of Shanghai, China.” Sustainability 7: 6919–6936.
   Google Scholar
• Wang, Z., A. P. Chan, J. Yuan, B. Xia, M. Skitmore, and Q. Li. 2014. “Recent Advances in Modeling the Vulnerability of Transportation Networks.” Journal of Infrastructure Systems 21 (2): 06014002.
   Google Scholar
• Xue, F., W. N. Fang, and B. Y. Guo. 2014. “Rail Transit Station Passenger Flow Evolution Algorithm Based on System Dynamics.” Journal of the China Railway Society 36 (2): 10.
   Google Scholar
• Yuan, Y., and I. A. Hansen. 2007. “Optimizing Capacity Utilization of Stations by Estimating Knock-On Train Delays.” Transportation Research Part B-Methodological 41 (2): 202–217.
   Google Scholar
• Zhang, Y., A. Arenas, and O. Yağan. 2018b. “Cascading Failures in Interdependent Systems Under a Flow Redistribution Model.” Physical Review E 97: 022307.
   Google Scholar
• Zhang, X., E. Miller-Hooks, and K. Denny. 2015a. “Assessing the Role of Network Topology in Transportation Network Resilience.” Journal of Transport Geography 46: 35–45.
   Google Scholar
• Zhang, Y., Y. Lu, G. Lu, and C. Ding. 2015b. “Analysis of Road Traffic Network Cascade Failures with Coupled Map Lattice Method.” Mathematical Problems in Engineering 2015: 10159.
   Google Scholar
• Zhang, J. H., S. L. Wang, and X. Y. Wang. 2018a. “Comparison Analysis on Vulnerability of Metro Networks Based on Complex Network.” Physica A: Statistical Mechanics and Its Applications 496: 72–78.
   Google Scholar
• Zhang, J. H., X. Xu, and L. Hing. 2011. “Networked Analysis of the Shanghai Subway Network, in China.” Physica A: Statistical Mechanics and Its Applications 390: 4562–4570.
   Google Scholar
• Zhou, Z., Z. G. Huang, L. Huang, Y. C. Lai, L. Yang, and D. S. Xue. 2013. “Universality of Flux-Fluctuation Law in Complex Dynamical Systems.” Physical Review E 87: 012808.
   Google Scholar