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A quantitative approach for assessing the critical nodal and linear elements of a railway infrastructure

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  • Zhang, Zili
  • Li, Xiangyang
  • Li, Hengyun

Abstract

Determining the priority of infrastructure assets is an important problem in critical infrastructure protection. However, relatively few studies have attempted to address the problem. This paper presents a quantitative approach for determining the elements of a railway infrastructure that have the highest protection priority. The train stations in a railway infrastructure (nodal elements) and railway lines (linear elements) are modeled as nodes and ties, respectively, in a social network diagram, which is used in centricity analysis to explore the relative importance of train stations. A modified gravity model is presented to assess the importance of railway lines. The feasibility of the proposed methodology is demonstrated using the railway infrastructure of Mainland China. The methodology can help practitioners and policy makers obtain a better understanding of the importance and protection priority of railway infrastructure assets as well as other critical infrastructures that have network topologies.

Suggested Citation

  • Zhang, Zili & Li, Xiangyang & Li, Hengyun, 2015. "A quantitative approach for assessing the critical nodal and linear elements of a railway infrastructure," International Journal of Critical Infrastructure Protection, Elsevier, vol. 8(C), pages 3-15.
    • Handle: RePEc:eee:ijocip:v:8:y:2015:i:c:p:3-15
    DOI: 10.1016/j.ijcip.2014.11.001
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    Cited by:

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    2. Calzada-Infante, L. & Adenso-Díaz, B. & García Carbajal, S., 2020. "Analysis of the European international railway network and passenger transfers," Chaos, Solitons & Fractals, Elsevier, vol. 141(C).
    3. Mostafa Bababeik & Mohammad Mahdi Nasiri & Navid Khademi & Anthony Chen, 2019. "Vulnerability evaluation of freight railway networks using a heuristic routing and scheduling optimization model," Transportation, Springer, vol. 46(4), pages 1143-1170, August.
    4. Faramondi, Luca & Setola, Roberto & Panzieri, Stefano & Pascucci, Federica & Oliva, Gabriele, 2018. "Finding critical nodes in infrastructure networks," International Journal of Critical Infrastructure Protection, Elsevier, vol. 20(C), pages 3-15.
    5. Han, Fangyuan & Zio, Enrico, 2019. "A multi-perspective framework of analysis of critical infrastructures with respect to supply service, controllability and topology," International Journal of Critical Infrastructure Protection, Elsevier, vol. 24(C), pages 1-13.
    6. Wang, Shih-Hsu, 2016. "An analytical model for benchmarking the development of national infrastructure items against those in similar countries," International Journal of Critical Infrastructure Protection, Elsevier, vol. 13(C), pages 3-18.
    7. Szymula, Christopher & Bešinović, Nikola, 2020. "Passenger-centered vulnerability assessment of railway networks," Transportation Research Part B: Methodological, Elsevier, vol. 136(C), pages 30-61.
    8. Hassan Al-Zarooni & Hamdi Bashir, 0. "An integrated ISM fuzzy MICMAC approach for modeling and analyzing electrical power system network interdependencies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-23.
    9. Galbraith, John W. & Iuliani, Luca, 2019. "Measures of robustness for networked critical infrastructure: An empirical comparison on four electrical grids," International Journal of Critical Infrastructure Protection, Elsevier, vol. 27(C).
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