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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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    1. Lewer, Joshua J. & Van den Berg, Hendrik, 2008. "A gravity model of immigration," Economics Letters, Elsevier, vol. 99(1), pages 164-167, April.
    2. Patterson, S.A. & Apostolakis, G.E., 2007. "Identification of critical locations across multiple infrastructures for terrorist actions," Reliability Engineering and System Safety, Elsevier, vol. 92(9), pages 1183-1203.
    3. Leamer, Edward E. & Levinsohn, James, 1995. "International trade theory: The evidence," Handbook of International Economics, in: G. M. Grossman & K. Rogoff (ed.), Handbook of International Economics, edition 1, volume 3, chapter 26, pages 1339-1394, Elsevier.
    4. Zhang, Pengcheng & Peeta, Srinivas, 2011. "A generalized modeling framework to analyze interdependencies among infrastructure systems," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 553-579, March.
    5. George A. Akerlof, 1997. "Social Distance and Social Decisions," Econometrica, Econometric Society, vol. 65(5), pages 1005-1028, September.
    6. Löschel, Andreas & Moslener, Ulf & Rübbelke, Dirk T.G., 2010. "Energy security--concepts and indicators," Energy Policy, Elsevier, vol. 38(4), pages 1607-1608, April.
    7. George E. Apostolakis & Douglas M. Lemon, 2005. "A Screening Methodology for the Identification and Ranking of Infrastructure Vulnerabilities Due to Terrorism," Risk Analysis, John Wiley & Sons, vol. 25(2), pages 361-376, April.
    8. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    9. Chiaradonna, Silvano & Giandomenico, Felicita Di & Lollini, Paolo, 2011. "Definition, implementation and application of a model-based framework for analyzing interdependencies in electric power systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 4(1), pages 24-40.
    10. Stefano De Porcellinis & Stefano Panzieri & Roberto Setola, 2009. "Modelling critical infrastructure via a mixed holistic reductionistic approach," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 5(1/2), pages 86-99.
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    Cited by:

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    2. 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.
    3. Szymula, Christopher & Bešinović, Nikola, 2020. "Passenger-centered vulnerability assessment of railway networks," Transportation Research Part B: Methodological, Elsevier, vol. 136(C), pages 30-61.
    4. 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.
    5. 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).
    6. Hassan Al-Zarooni & Hamdi Bashir, 2020. "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. 11(6), pages 1204-1226, December.
    7. Zhengqi He & Dechun Huang & Changzheng Zhang & Junmin Fang, 2018. "Toward a Stakeholder Perspective on Social Stability Risk of Large Hydraulic Engineering Projects in China: A Social Network Analysis," Sustainability, MDPI, vol. 10(4), pages 1-15, April.
    8. 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).
    9. 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.
    10. 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.

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