An Economic Approach for Domino Effect Management

Book Chapter (2022)
Author(s)

C. Chen (TU Delft - Safety and Security Science)

Genserik L.L.M.E. Reniers (TU Delft - Safety and Security Science)

Ming Yang (TU Delft - Safety and Security Science)

Safety and Security Science
Copyright
© 2022 C. Chen, G.L.L.M.E. Reniers, M. Yang
DOI related publication
https://doi.org/10.1007/978-3-030-88911-1_6
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 C. Chen, G.L.L.M.E. Reniers, M. Yang
Safety and Security Science
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
133-154
ISBN (electronic)
978-3-030-88911-1
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

In light of possible severe consequences of unintentional and intentional domino effects, an integrated domino effect management framework was introduced in Chap. 5 to prevent and mitigate domino effect risk. In this chapter, an economic approach based on safety economics is developed to obtain the optimal protection strategy. First, we introduce the concepts and approaches used in safety economics (Chen et al. in Saf Sci 14, 2021). Then, a domino effect management approach is developed based on cost–benefit analysis and game theory (Chen et al. in Process Saf Environ Prot 134:392–405, 2020). In this approach, the disproportion factor (DF) is employed in the cost–benefit analysis to determine whether a protection strategy is recommended. Besides, an optimization algorithm called “PROTOPT” is developed to achieve the optimal protection strategy.

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