Vulnerability Assessments of Urban Rail Transit Networks Based on Redundant Recovery
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Cited by:
- Zhang, Yifan & Ng, S. Thomas, 2021. "Unveiling the rich-club phenomenon in urban mobility networks through the spatiotemporal characteristics of passenger flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
- Ma, Min & Hu, Dawei & Chien, Steven I-Jy & Liu, Jie & Yang, Xing & Ma, Zhuanglin, 2022. "Evolution assessment of urban rail transit networks: A case study of Xi’an, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
- Xiaohong Yin & Jiakun Wu, 2022. "Simulation Study on Topology Characteristics and Cascading Failure of Hefei Subway Network," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
- Lu, Qing-Chang & Zhang, Lei & Xu, Peng-Cheng & Cui, Xin & Li, Jing, 2022. "Modeling network vulnerability of urban rail transit under cascading failures: A Coupled Map Lattices approach," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
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Keywords
vulnerability assessments; node strength; redundant recovery; urban rail transit networks;All these keywords.
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