A dynamic model for road protection against flooding

Stefano Starita (), M. Paola Scaparra () and Jesse R. O’Hanley ()
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Stefano Starita: University of Warwick
M. Paola Scaparra: University of Kent
Jesse R. O’Hanley: University of Kent

Journal of the Operational Research Society, 2017, vol. 68, issue 1, 74-88

Abstract: 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.

Keywords: road transportation; flooding; network disruption; infrastructure protection; MILP; GRASP (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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DOI: 10.1057/s41274-016-0019-0

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