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A dynamic model for road protection against flooding

Author

Listed:
  • Stefano Starita

    (University of Warwick
    University of Kent)

  • M. Paola Scaparra

    (University of Kent)

  • Jesse R. O’Hanley

    (University of Kent)

Abstract

This paper focuses on the problem of identifying optimal protection strategies to reduce the impact of flooding on a road network. We propose a dynamic mixed-integer programming model that extends the classic concept of road network protection by shifting away from single-arc fortifications to a more general and realistic approach involving protection plans that cover multiple components. We also consider multiple disruption scenarios of varying magnitude. To efficiently solve large problem instances, we introduce a customised GRASP heuristic. Finally, we provide some analysis and insights from a case study of the Hertfordshire road network in the East of England. Results show that optimal protection strategies mainly involve safeguarding against flooding events that are small and likely to occur, whereas implementing higher protection standards are not considered cost-effective.

Suggested Citation

  • Stefano Starita & M. Paola Scaparra & Jesse R. O’Hanley, 2017. "A dynamic model for road protection against flooding," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(1), pages 74-88, January.
    • Handle: RePEc:pal:jorsoc:v:68:y:2017:i:1:d:10.1057_s41274-016-0019-0
    DOI: 10.1057/s41274-016-0019-0
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    Cited by:

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    3. Yaghlane, Asma Ben & Azaiez, M. Naceur & Mrad, Mehdi, 2019. "System survivability in the context of interdiction networks," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 362-371.
    4. Leitner, Markus & Ljubić, Ivana & Monaci, Michele & Sinnl, Markus & Tanınmış, Kübra, 2023. "An exact method for binary fortification games," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1026-1039.

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