A defender-attacker-defender approach to the optimal fortification of a rail intermodal terminal network

Sarhadi, Hassan; Tulett, David M.; Verma, Manish

doi:10.1007/s12198-014-0152-4

Cited by 15 publications

(4 citation statements)

References 23 publications

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“…Küçükaydın and Aras [48] study an interdiction model for railways, where both stations and tracks are capacitated and subjected to disruption. Sarhadi et al [49,50] propose trilevel fortification models to allocate protective resources on a rail-truck intermodal terminal network. e objective is to identify the set of terminals to fortify so that the postdisruption shipping cost of the container flow is minimized.…”

Section: Literature Reviewmentioning

confidence: 99%

Protecting and Expanding Railway Networks to Hedge against Disruptions: A Model with Travel Segments

Starita

Irawan

Jindahra

2022

Journal of Advanced Transportation

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Railway systems are instrumental to countries’ economies. They are also vulnerable to man-made and natural disruptions and therefore need to be protected. This paper introduces an optimization model to identify the set of fortifications and network expansions to mitigate the impact of worst-case disruptions. The model incorporates multiple travel segments allowing to study the impact of different route choice behaviours. A Benders decomposition approach is developed to solve the bilevel problem alongside a more efficient nested GRASP heuristic. The algorithms are tested and compared on a set of artificial grids. A case study is developed using the Central London Tube network to provide managerial insights.

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Section: Literature Reviewmentioning

confidence: 99%

Protecting and Expanding Railway Networks to Hedge against Disruptions: A Model with Travel Segments

Starita

Irawan

Jindahra

2022

Journal of Advanced Transportation

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“…Jin et al [43] propose a tri-level model whose ultimate goal is to harden train stations so as to minimize the travel delay resulting from multiple targeted attacks while modelling passenger flow as a multiple origin-destination commuter flow. Sarhadi, Tulett and Verma ( [44,45]) investigate the fortification problem applied to rail-truck intermodal transportation networks. Scaparra, Starita and Sterle [46] introduce the Railway Protection Investment problem (RPI), a bi-level model whose aim is to identify the allocation of protective resources that minimizes the disruption of passenger flow due to worst-case interdictions.…”

Section: Systemic Approach To Fortificationmentioning

confidence: 99%

Assessing Protection Strategies for Urban Rail Transit Systems: A Case-Study on the Central London Underground

2019

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Urban rail transit systems are highly prone to disruptions of various nature (e.g., accidental, environmental, man-made). Railway networks are deemed as critical infrastructures given that a service interruption can prompt adverse consequences on entire communities and lead to potential far-reaching effects. Hence, the identification of optimal strategies to mitigate the negative impact of disruptive events is paramount to increase railway systems’ resilience. In this paper, we investigate several protection strategies deriving from the application of either single asset vulnerability metrics or systemic optimization models. The contribution of this paper is threefold. Firstly, a single asset metric combining connectivity, path length and flow is defined, namely the Weighted Node Importance Evaluation Index (WI). Secondly, a novel bi-level multi-criteria optimisation model, called the Railway Fortification Problem (RFP), is introduced. RFP identifies protection strategies based on stations connectivity, path length, or travel demand, considered as either individual or combined objectives. Finally, two different protection strategy approaches are applied to a Central London Underground case study: a sequential approach based on single-asset metrics and an integrated approach based on RFP. Results indicate that the integrated approach outperforms the sequential approach and identifies more robust protection plans with respect to different vulnerability criteria.

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“…Jin et al (2015), meanwhile, introduce a tri-level model for the protection of urban rail transit networks. Sarhadi et al (2015) focus on rail inter-modal transportation, studying a fortification model that embeds a capacitated multi-commodity flow problem with delivery times and penalty costs.…”

Section: Literature Reviewmentioning

confidence: 99%

A dynamic model for road protection against flooding

Starita

Scaparra

O’Hanley

2017

Journal of the Operational Research Society

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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.

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A defender-attacker-defender approach to the optimal fortification of a rail intermodal terminal network

Cited by 15 publications

References 23 publications

Protecting and Expanding Railway Networks to Hedge against Disruptions: A Model with Travel Segments

Protecting and Expanding Railway Networks to Hedge against Disruptions: A Model with Travel Segments

Assessing Protection Strategies for Urban Rail Transit Systems: A Case-Study on the Central London Underground

A dynamic model for road protection against flooding

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