IDEAS home Printed from https://ideas.repec.org/a/ids/ijcist/v10y2014i3-4p218-246.html
   My bibliography  Save this article

Optimal recovery sequencing for enhanced resilience and service restoration in transportation networks

Author

Listed:
  • Eric D. Vugrin
  • Mark A. Turnquist
  • Nathanael J.K. Brown

Abstract

Critical infrastructure resilience has become a national priority for the US Department of Homeland Security. Rapid and efficient restoration of service in damaged transportation networks is a key area of focus. The intent of this paper is to formulate a bi-level optimisation model for network recovery and to demonstrate a solution approach for that optimisation model. The lower-level problem involves solving for network flows, while the upper-level problem identifies the optimal recovery modes and sequences, using tools from the literature on multi-mode project scheduling problems. Application and advantages of this method are demonstrated through two examples.

Suggested Citation

  • Eric D. Vugrin & Mark A. Turnquist & Nathanael J.K. Brown, 2014. "Optimal recovery sequencing for enhanced resilience and service restoration in transportation networks," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 10(3/4), pages 218-246.
    • Handle: RePEc:ids:ijcist:v:10:y:2014:i:3/4:p:218-246
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=66356
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Emily A Heath & John E Mitchell & Thomas C Sharkey, 2020. "Models for restoration decision making for a supply chain network after a cyber attack," The Journal of Defense Modeling and Simulation, , vol. 17(1), pages 5-19, January.
    2. Zhu, Chunli & Wu, Jianping & Liu, Mingyu & Luan, Jianlin & Li, Tingting & Hu, Kezhen, 2020. "Cyber-physical resilience modelling and assessment of urban roadway system interrupted by rainfall," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    3. Chao Zhang & Jingjing Kong & Slobodan P Simonovic, 2018. "Modeling joint restoration strategies for interdependent infrastructure systems," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-18, April.
    4. Nogal, Maria & Morales Nápoles, Oswaldo & O’Connor, Alan, 2019. "Structured expert judgement to understand the intrinsic vulnerability of traffic networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 136-152.
    5. 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.
    6. Poulin, Craig & Kane, Michael B., 2021. "Infrastructure resilience curves: Performance measures and summary metrics," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    7. Sun, Jiayun & Chow, Aaron C.H. & Michel Madanat, Samer, 2022. "Tradeoffs between optimality and equity in transportation network protection against sea level rise," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 195-208.
    8. Almoghathawi, Yasser & Barker, Kash & Albert, Laura A., 2019. "Resilience-driven restoration model for interdependent infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 12-23.
    9. Filippone, Edoardo & Gargiulo, Francesco & Errico, Angela & Di Vito, Vittorio & Pascarella, Domenico, 2016. "Resilience management problem in ATM systems as a shortest path problem," Journal of Air Transport Management, Elsevier, vol. 56(PA), pages 57-65.
    10. Ghorbani-Renani, Nafiseh & González, Andrés D. & Barker, Kash & Morshedlou, Nazanin, 2020. "Protection-interdiction-restoration: Tri-level optimization for enhancing interdependent network resilience," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    11. 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.
    12. Wang, Nanxi & Yuen, Kum Fai, 2022. "Resilience assessment of waterway transportation systems: Combining system performance and recovery cost," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    13. 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.
    14. Gonçalves, L.A.P.J. & Ribeiro, P.J.G., 2020. "Resilience of urban transportation systems. Concept, characteristics, and methods," Journal of Transport Geography, Elsevier, vol. 85(C).
    15. Zou, Qiling & Chen, Suren, 2021. "Resilience-based Recovery Scheduling of Transportation Network in Mixed Traffic Environment: A Deep-Ensemble-Assisted Active Learning Approach," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    16. Jakšić, Zoran & Janić, Milan, 2020. "Modeling resilience of the ATC (Air Traffic Control) sectors," Journal of Air Transport Management, Elsevier, vol. 89(C).
    17. Alkhaleel, Basem A. & Liao, Haitao & Sullivan, Kelly M., 2022. "Risk and resilience-based optimal post-disruption restoration for critical infrastructures under uncertainty," European Journal of Operational Research, Elsevier, vol. 296(1), pages 174-202.
    18. Zou, Qiling & Chen, Suren, 2019. "Enhancing resilience of interdependent traffic-electric power system," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    19. Yasser Almoghathawi & Andrés D. González & Kash Barker, 2021. "Exploring Recovery Strategies for Optimal Interdependent Infrastructure Network Resilience," Networks and Spatial Economics, Springer, vol. 21(1), pages 229-260, March.
    20. Nogal, M. & Honfi, D., 2019. "Assessment of road traffic resilience assuming stochastic user behaviour," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 72-83.
    21. Gokalp, Can & Patil, Priyadarshan N. & Boyles, Stephen D., 2021. "Post-disaster recovery sequencing strategy for road networks," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 228-245.
    22. Moslehi, Salim & Reddy, T. Agami, 2018. "Sustainability of integrated energy systems: A performance-based resilience assessment methodology," Applied Energy, Elsevier, vol. 228(C), pages 487-498.
    23. Almoghathawi, Yasser & Selim, Shokri & Barker, Kash, 2023. "Community structure recovery optimization for partial disruption, functionality, and restoration in interdependent networks," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    24. Fang, Yi-Ping & Sansavini, Giovanni, 2019. "Optimum post-disruption restoration under uncertainty for enhancing critical infrastructure resilience," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 1-11.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijcist:v:10:y:2014:i:3/4:p:218-246. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=58 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.