Structural vulnerability and intervention of high speed railway networks

Zhang, Jianhua; Hu, Funian; Wang, Shuliang; Yang, Dan; Wang, Yixing

doi:10.1016/j.physa.2016.06.132

Cited by 63 publications

(16 citation statements)

References 31 publications

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“…Therefore, it would be inconvenient for travelers if train delays or cancellations due to emergencies happen. Zhang et al (2016) assessed the structural vulnerability of high-speed railway networks subjected to malicious attacks in China, the US, and Japan, implementing Topological Efficiency and Unit Degree Betweenness as indicators. They concluded that network damage would happen if higher betweenness nodes were attacked.…”

Section: High-speed Rail Networkmentioning

confidence: 99%

“…Research on the robustness of high-speed rail and air transportation networksAuthorsNetwork Nodes Links Robustness measuresZhang et al (2016) HSR Stations Railway lines Network efficiency, connected diameter, and average unit degree betweenness Feng et al(2017) HSR Stations Railway lines Network efficiency, relative size of the largest connected subgraph, and the unit degree betweennessGu and Li (2019) HSR Cities Railway lines Network efficiency, relative size of the largest connected subgraph, average shortest path length, and average HSR, high-speed rail.…”

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confidence: 99%

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Exploring the Characteristics of High-Speed Rail and Air Transportation Networks in China: A Weighted Network Approach

Qi¹,

Kwon²

2021

Journal of International Logistics and Trade

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Section: High-speed Rail Networkmentioning

confidence: 99%

mentioning

confidence: 99%

Exploring the Characteristics of High-Speed Rail and Air Transportation Networks in China: A Weighted Network Approach

Qi¹,

Kwon²

2021

Journal of International Logistics and Trade

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“…There are two streams from this paper. One stream starts from a paper by Zhang et al (2016b). They conduct a vulnerability analysis on the high speed railway networks in China, the US, and Japan.…”

Section: Metro and Maritime Networkmentioning

confidence: 99%

Vulnerability studies in the fields of transportation and complex networks: a citation network analysis

Sugishita

Asakura

2020

Public Transp

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In recent years, studies on network vulnerability have grown rapidly in the fields of transportation and complex networks. Even though these two fields are closely related, their overall structure is still unclear. In this study, to add clarity comprehensively and objectively, we analyze a citation network consisting of vulnerability studies in these two fields. We collect publication records from an online publication database, the Web of Science, and construct a citation network where nodes and edges represent publications and citation relations, respectively. We analyze the giant weakly connected component consisting of 705 nodes and 4,584 edges. First, we uncover main research domains by detecting communities in the network. Second, we identify major research development over time in the detected communities by applying main path analysis. Third, we quantitatively reveal asymmetric citation patterns between the two fields, which implies that mutual understanding between them is still lacking. Since these two fields deal with the vulnerability of network systems in common, more active interdisciplinary studies should have a great potential to advance both fields in the future.

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“…Railways continue to be one of the main transport systems nowadays [1,2], covering public, private, and military needs over a wide operational area. Thus, railway assets are an attractive target for malicious actors and are exposed to various threats, from natural events to man-made ones, such as terrorism or vandalism (e.g., [3][4][5][6]).…”

Section: Introductionmentioning

confidence: 99%

SPD-Safe: Secure Administration of Railway Intelligent Transportation Systems

Hatzivasilis

Fysarakis²,

Ioannidis

et al. 2021

Electronics

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The railway transport system is critical infrastructure that is exposed to numerous man-made and natural threats, thus protecting this physical asset is imperative. Cyber security, privacy, and dependability (SPD) are also important, as the railway operation relies on cyber-physical systems (CPS) systems. This work presents SPD-Safe—an administration framework for railway CPS, leveraging artificial intelligence for monitoring and managing the system in real-time. The network layer protections integrated provide the core security properties of confidentiality, integrity, and authentication, along with energy-aware secure routing and authorization. The effectiveness in mitigating attacks and the efficiency under normal operation are assessed through simulations with the average delay in real equipment being 0.2–0.6 s. SPD metrics are incorporated together with safety semantics for the application environment. Considering an intelligent transportation scenario, SPD-Safe is deployed on railway critical infrastructure, safeguarding one outdoor setting on the railway’s tracks and one in-carriage setting on a freight train that contains dangerous cargo. As demonstrated, SPD-Safe provides higher security and scalability, while enhancing safety response procedures. Nonetheless, emergence response operations require a seamless interoperation of the railway system with emergency authorities’ equipment (e.g., drones). Therefore, a secure integration with external systems is considered as future work.

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Structural vulnerability and intervention of high speed railway networks

Cited by 63 publications

References 31 publications

Exploring the Characteristics of High-Speed Rail and Air Transportation Networks in China: A Weighted Network Approach

Exploring the Characteristics of High-Speed Rail and Air Transportation Networks in China: A Weighted Network Approach

Vulnerability studies in the fields of transportation and complex networks: a citation network analysis

SPD-Safe: Secure Administration of Railway Intelligent Transportation Systems

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