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Analysis of incident costs in a vulnerable sparse rail network – Description and Iran case study

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  • Khademi, Navid
  • Babaei, Mohsen
  • Schmöcker, Jan-Dirk
  • Fani, Amirhossein

Abstract

Enhancing the productivity of the national railway systems is now one of the main concerns of transportation authorities in Iran. In this regard, one of the strategies devised by Iran's Railway Company is to increase the robustness of the system against incidents. The paper describes the state of the network and discusses that human errors are the main cause imposing significant costs. This is followed by the development of a method for the network vulnerability analysis of sparse interurban rail networks considering transportation of various goods as well as passengers. The paper examines the effects of an incident where consequent effects are substantial and propagate functionally throughout the network, to take the network closure duration into account, and to tie together both additional costs of transporting passengers/goods (due to prolongation of routes) and unsatisfied demand. The purpose is to find the most important links of the network, where failure results in serious consequences. Passenger unsatisfied demand, freight unsatisfied demand, and monetary costs are considered as the consequences of network disruptions, and a multi-objective optimization programming approach is designed to generate solutions based on these criteria.

Suggested Citation

  • Khademi, Navid & Babaei, Mohsen & Schmöcker, Jan-Dirk & Fani, Amirhossein, 2018. "Analysis of incident costs in a vulnerable sparse rail network – Description and Iran case study," Research in Transportation Economics, Elsevier, vol. 70(C), pages 9-27.
  • Handle: RePEc:eee:retrec:v:70:y:2018:i:c:p:9-27
    DOI: 10.1016/j.retrec.2018.08.010
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    as
    1. Knoop, Victor L. & Snelder, Maaike & van Zuylen, Henk J. & Hoogendoorn, Serge P., 2012. "Link-level vulnerability indicators for real-world networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 843-854.
    2. Chen, Bi Yu & Lam, William H.K. & Sumalee, Agachai & Li, Qingquan & Li, Zhi-Chun, 2012. "Vulnerability analysis for large-scale and congested road networks with demand uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 501-516.
    3. Paramet Luathep & Agachai Sumalee & H. Ho & Fumitaka Kurauchi, 2011. "Large-scale road network vulnerability analysis: a sensitivity analysis based approach," Transportation, Springer, vol. 38(5), pages 799-817, September.
    4. Fumitaka Kurauchi & Nobuhiro Uno & Agachai Sumalee & Yumiko Seto, 2009. "Network Evaluation Based on Connectivity Vulnerability," Springer Books, in: William H. K. Lam & S. C. Wong & Hong K. Lo (ed.), Transportation and Traffic Theory 2009: Golden Jubilee, chapter 0, pages 637-649, Springer.
    5. Nagae, Takeshi & Fujihara, Tomo & Asakura, Yasuo, 2012. "Anti-seismic reinforcement strategy for an urban road network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 813-827.
    6. Michael A. P. Taylor & Glen M. D’Este, 2007. "Transport Network Vulnerability: a Method for Diagnosis of Critical Locations in Transport Infrastructure Systems," Advances in Spatial Science, in: Alan T. Murray & Tony H. Grubesic (ed.), Critical Infrastructure, chapter 2, pages 9-30, Springer.
    7. Jenelius, Erik & Petersen, Tom & Mattsson, Lars-Göran, 2006. "Importance and exposure in road network vulnerability analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(7), pages 537-560, August.
    8. Adiel Teixeira de Almeida & Cristiano Alexandre Virgínio Cavalcante & Marcelo Hazin Alencar & Rodrigo José Pires Ferreira & Adiel Teixeira de Almeida-Filho & Thalles Vitelli Garcez, 2015. "Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis," International Series in Operations Research and Management Science, Springer, edition 127, number 978-3-319-17969-8, April.
    9. Taylor, Michael A.P. & Susilawati,, 2012. "Remoteness and accessibility in the vulnerability analysis of regional road networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 761-771.
    10. Cats, O. & Yap, M. & van Oort, N., 2016. "Exposing the role of exposure: Public transport network risk analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 1-14.
    11. Johansson, Jonas & Hassel, Henrik, 2010. "An approach for modelling interdependent infrastructures in the context of vulnerability analysis," Reliability Engineering and System Safety, Elsevier, vol. 95(12), pages 1335-1344.
    12. Michael Taylor & Somenahalli Sekhar & Glen D'Este, 2006. "Application of Accessibility Based Methods for Vulnerability Analysis of Strategic Road Networks," Networks and Spatial Economics, Springer, vol. 6(3), pages 267-291, September.
    13. Sohn, Jungyul, 2006. "Evaluating the significance of highway network links under the flood damage: An accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 491-506, July.
    14. Abril, M. & Barber, F. & Ingolotti, L. & Salido, M.A. & Tormos, P. & Lova, A., 2008. "An assessment of railway capacity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(5), pages 774-806, September.
    15. Gedik, Ridvan & Medal, Hugh & Rainwater, Chase & Pohl, Ed A. & Mason, Scott J., 2014. "Vulnerability assessment and re-routing of freight trains under disruptions: A coal supply chain network application," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 45-57.
    16. Bono, Flavio & Gutiérrez, Eugenio, 2011. "A network-based analysis of the impact of structural damage on urban accessibility following a disaster: the case of the seismically damaged Port Au Prince and Carrefour urban road networks," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1443-1455.
    17. Kermanshah, A. & Derrible, S., 2016. "A geographical and multi-criteria vulnerability assessment of transportation networks against extreme earthquakes," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 39-49.
    18. Jenelius, Erik, 2009. "Network structure and travel patterns: explaining the geographical disparities of road network vulnerability," Journal of Transport Geography, Elsevier, vol. 17(3), pages 234-244.
    19. Jenelius, Erik & Mattsson, Lars-Göran, 2012. "Road network vulnerability analysis of area-covering disruptions: A grid-based approach with case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 746-760.
    20. Chang, Stephanie E. & Nojima, Nobuoto, 2001. "Measuring post-disaster transportation system performance: the 1995 Kobe earthquake in comparative perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(6), pages 475-494, July.
    21. Jenelius, Erik, 2010. "User inequity implications of road network vulnerability," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 2(3), pages 57-73.
    22. Sullivan, J.L. & Novak, D.C. & Aultman-Hall, L. & Scott, D.M., 2010. "Identifying critical road segments and measuring system-wide robustness in transportation networks with isolating links: A link-based capacity-reduction approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 323-336, June.
    23. Anthony Chen & Chao Yang & Sirisak Kongsomsaksakul & Ming Lee, 2007. "Network-based Accessibility Measures for Vulnerability Analysis of Degradable Transportation Networks," Networks and Spatial Economics, Springer, vol. 7(3), pages 241-256, September.
    24. Snelder, M. & van Zuylen, H.J. & Immers, L.H., 2012. "A framework for robustness analysis of road networks for short term variations in supply," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 828-842.
    25. Steven K. Peterson & Richard L. Church, 2008. "A Framework for Modeling Rail Transport Vulnerability," Growth and Change, Wiley Blackwell, vol. 39(4), pages 617-641, December.
    26. Muriel-Villegas, Juan E. & Alvarez-Uribe, Karla C. & Patiño-Rodríguez, Carmen E. & Villegas, Juan G., 2016. "Analysis of transportation networks subject to natural hazards – Insights from a Colombian case," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 151-165.
    27. Ouyang, Min & Pan, ZheZhe & Hong, Liu & He, Yue, 2015. "Vulnerability analysis of complementary transportation systems with applications to railway and airline systems in China," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 248-257.
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    More about this item

    Keywords

    Network vulnerability; Network robustness; Passenger rail transportation; Freight rail transportation; Multi-objective decision-making; System resilience; Developing countries; Iranian national railway;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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