Proportional hazards models of infrastructure system recovery

Kash Barker and Hiba Baroud

Reliability Engineering and System Safety, 2014, vol. 124, issue C, 201-206

Abstract: As emphasis is being placed on a system's ability to withstand and to recover from a disruptive event, collectively referred to as dynamic resilience, there exists a need to quantify a system's ability to bounce back after a disruptive event. This work applies a statistical technique from biostatistics, the proportional hazards model, to describe (i) the instantaneous rate of recovery of an infrastructure system and (ii) the likelihood that recovery occurs prior to a given point in time. A major benefit of the proportional hazards model is its ability to describe a recovery event as a function of time as well as covariates describing the infrastructure system or disruptive event, among others, which can also vary with time. The proportional hazards approach is illustrated with a publicly available electric power outage data set.

Keywords: Infrastructure systems; Recovery; Proportional hazards (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:124:y:2014:i:c:p:201-206

DOI: 10.1016/j.ress.2013.12.004

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