IDEAS home Printed from https://ideas.repec.org/r/eee/transb/v71y2015icp71-84.html

Train design and routing optimization for evaluating criticality of freight railroad infrastructures

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Gast, Johannes & Kirkach, Evelina & Ivanov, Dmitry, 2022. "Structured literature review of transport networks and Supply Chain Resilience," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 469-496, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  2. Zhang, Yinggui & Guo, Jingyi & An, Min, 2022. "Development of a railway out-of-gauge freight transport routing optimal method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 595(C).
  3. Hossain, Niamat Ullah Ibne & Jaradat, Raed & Hosseini, Seyedmohsen & Marufuzzaman, Mohammad & Buchanan, Randy K., 2019. "A framework for modeling and assessing system resilience using a Bayesian network: A case study of an interdependent electrical infrastructure system," International Journal of Critical Infrastructure Protection, Elsevier, vol. 25(C), pages 62-83.
  4. Hassini, Elkafi & Verma, Manish, 2016. "Disruption risk management in railroad networks: An optimization-based methodology and a case studyAuthor-Name: Azad, Nader," Transportation Research Part B: Methodological, Elsevier, vol. 85(C), pages 70-88.
  5. Ke, Ginger Y. & Verma, Manish, 2021. "A framework to managing disruption risk in rail-truck intermodal transportation networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
  6. Milan Janić, 2018. "Modelling the resilience of rail passenger transport networks affected by large-scale disruptive events: the case of HSR (high speed rail)," Transportation, Springer, vol. 45(4), pages 1101-1137, July.
  7. Ghanei, Shima & Contreras, Ivan & Cordeau, Jean-François, 2023. "A two-stage stochastic collaborative intertwined supply network design problem under multiple disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
  8. Yin, Jiateng & Ren, Xianliang & Liu, Ronghui & Tang, Tao & Su, Shuai, 2022. "Quantitative analysis for resilience-based urban rail systems: A hybrid knowledge-based and data-driven approach," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
  9. Jabbarzadeh, Armin & Azad, Nader & Verma, Manish, 2020. "An optimization approach to planning rail hazmat shipments in the presence of random disruptions," Omega, Elsevier, vol. 96(C).
  10. Szymula, Christopher & Bešinović, Nikola, 2020. "Passenger-centered vulnerability assessment of railway networks," Transportation Research Part B: Methodological, Elsevier, vol. 136(C), pages 30-61.
  11. Jiang, Yuanting & Han, Mei & Chen, Chao & Han, Yanhui & Yu, Fuhao & Mi, Xiwei, 2025. "A vulnerability assessment with freight flow data of railway freight transportation network in Northeast China," Journal of Transport Geography, Elsevier, vol. 129(C).
  12. Chuanwen Dong & Robert Boute, 2020. "The Beer Transportation Game: How to Decarbonize Logistics by Moving Freight to Sustainable Transport Modes," INFORMS Transactions on Education, INFORMS, vol. 20(2), pages 102-112, January.
  13. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
  14. Hong, Liu & Ye, Bowen & Yan, Han & Zhang, Hui & Ouyang, Min & (Sean) He, Xiaozheng, 2019. "Spatiotemporal vulnerability analysis of railway systems with heterogeneous train flows," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 725-744.
  15. Mozhu Wang & Jianming Yao, 2023. "Replenishment and delivery optimization for unmanned vending machines service system based on fuzzy clustering," Electronic Commerce Research, Springer, vol. 23(4), pages 2419-2461, December.
  16. 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.
  17. Paraskevopoulos, Dimitris C. & Gürel, Sinan & Bektaş, Tolga, 2016. "The congested multicommodity network design problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 166-187.
  18. Marzano, Vittorio & Tocchi, Daniela & Papola, Andrea & Aponte, Dario & Simonelli, Fulvio & Cascetta, Ennio, 2018. "Incentives to freight railway undertakings compensating for infrastructural gaps: Methodology and practical application to Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 177-188.
  19. Hosseini, Seyedmohsen & Barker, Kash & Ramirez-Marquez, Jose E., 2016. "A review of definitions and measures of system resilience," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 47-61.
  20. Wang, Zhaojing & Jia, Limin & Ma, Xiaoping & Sun, Xuehui & Tang, Qianxue & Qian, Sina, 2022. "Accessibility-oriented performance evaluation of high-speed railways using a three-layer network model," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
  21. Er Raqabi, El Mehdi & Wu, Yong & El Hallaoui, Issmaïl & Soumis, François, 2024. "Towards resilience: Primal large-scale re-optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
  22. Cottreau, Benjamin & Celbiş, Mehmet Güney & Manout, Ouassim & Bouzouina, Louafi, 2025. "Resilience of public transport in the face of disruptions: Insights from explainable machine learning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 199(C).
  23. Wennan Song & Di Liu & Wenyu Rong, 2022. "Optimization of Passenger-like Container Train Running Plan Considering Empty Container Dispatch," Sustainability, MDPI, vol. 14(8), pages 1-23, April.
  24. Chen, Chongshuang & Dollevoet, Twan & Zhao, Jun, 2018. "One-block train formation in large-scale railway networks: An exact model and a tree-based decomposition algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 1-30.
  25. Yeh, Cheng-Ta & Lin, Yi-Kuei & Yeng, Louis Cheng-Lu & Huang, Pei-Tzu, 2021. "Reliability evaluation of a multistate railway transportation network from the perspective of a travel agent," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
  26. Chen, C. & Dollevoet, T.A.B. & Zhao, J., 2017. "One-block train formation in large-scale railway networks: An exact model and a tree-based decomposition algorithm," Econometric Institute Research Papers EI-2017-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  27. Goldbeck, Nils & Angeloudis, Panagiotis & Ochieng, Washington, 2020. "Optimal supply chain resilience with consideration of failure propagation and repair logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.