On the component resilience importance measures for infrastructure systems

Ruiying Li and Ying Gao

International Journal of Critical Infrastructure Protection, 2022, vol. 36, issue C

Abstract: For an infrastructure system, resilience can measure its performance degradation and recovery behavior after the disturbance. To reasonably allocate the limited resources and fully consider the effect of component resilience on the overall system, this paper proposes seven component resilience importance measures, i.e., Birnbaum resilience importance, resilience improvement/reduction potential importance, equal-improvement/reduction-based resilience importance, and equal-improvement/reduction-ratio-based resilience importance. A Monte-Carlo-based method is proposed to analyze the above resilience importance measures, and a transportation network is used as a case to verify the effectiveness of our method. Resilience behaviors of both links and the transportation network, and the resilience importance of links are analyzed in detail.

Keywords: Resilience importance; Monte-Carlo method; Importance measure; Infrastructure system (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1874548221000676
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ijocip:v:36:y:2022:i:c:s1874548221000676

DOI: 10.1016/j.ijcip.2021.100481

Access Statistics for this article

International Journal of Critical Infrastructure Protection is currently edited by Leon Strous

More articles in International Journal of Critical Infrastructure Protection from Elsevier
Bibliographic data for series maintained by Catherine Liu ().