Scaparra, Maria Paola and Starita, Stefano and Sterle, Claudio (2015) Optimizing investment decisions for railway systems protection. In: Setola, R. and Sforza, A. and Vittorini, V. and Pragliola, C., eds. Railway Infrastructure Security. Topics in Safety, Risk, Reliability and Quality, 27 . Springer, pp. 215-233. ISBN 978-3-319-04425-5. E-ISBN 978-3-319-04426-2. (doi:10.1007/978-3-319-04426-2_11) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:47974)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: https://doi.org/10.1007/978-3-319-04426-2_11 |
Abstract
As demonstrated by recent events, railway systems are often the target of terrorist bombings and attacks. To preserve public safety and essential economic functions, railroad networks should be made as secure and resilient as possible. However, railway protection investments may involve significant and often unaffordable capital expenditure. Given the limited resources available for protection efforts, it is essential that a strategic approach to the planning of security investments is adopted. This chapter presents a mathematical model for identifying the optimal allocation of protective resources among the components of a railway network. The aim is to minimize the impact on passenger flow of worst-case disruptions which might affect both railway stations and tracks. The proposed model is tested on an Italian railroad network to demonstrate how the model results can be used to inform policy making and protection investment decisions.
Item Type: | Book section |
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DOI/Identification number: | 10.1007/978-3-319-04426-2_11 |
Subjects: |
H Social Sciences > HE Transportation and Communications Q Science > Operations Research - Theory |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Depositing User: | Paola Scaparra |
Date Deposited: | 14 Apr 2015 09:24 UTC |
Last Modified: | 05 Nov 2024 10:31 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/47974 (The current URI for this page, for reference purposes) |
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