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Optimizing dynamic investment decisions for railway systems protection

Starita, Stefano, Scaparra, Maria Paola (2016) Optimizing dynamic investment decisions for railway systems protection. European Journal of Operational Research, 248 (2). pp. 543-557. ISSN 0377-2217. (doi:10.1016/j.ejor.2015.07.025) (KAR id:49607)


Past and recent events have shown that railway infrastructure systems are particularly vulnerable to natural catastrophes, unintentional accidents and terrorist attacks. Protection investments are instrumental in reducing economic losses and preserving public safety. A systematic approach to plan security investments is paramount to guarantee that limited protection resources are utilized in the most efficient manner. In this article, we present an optimization model to identify the railway assets which should be protected to minimize the impact of worst case disruptions on passenger flows. We consider a dynamic investment problem where protection resources become available over a planning horizon. The problem is formulated as a bilevel mixed-integer model and solved using two different decomposition approaches. Random instances of different sizes are generated to compare the solution algorithms. The model is then tested on the Kent railway network to demonstrate how the results can be used to support efficient protection decisions.

Item Type: Article
DOI/Identification number: 10.1016/j.ejor.2015.07.025
Uncontrolled keywords: Strategic planning; Transportation; Protection; Bilevel programming; Decomposition
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Paola Scaparra
Date Deposited: 20 Jul 2015 15:40 UTC
Last Modified: 19 Sep 2023 15:03 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Starita, Stefano.

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Scaparra, Maria Paola.

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