MODELING OF RECOVERY RATE OF INFRASTRUCTURE SYSTEM USING THE HISTORICAL DATA

The resilience of infrastructure systems is of significant concern and in the case of disruptive events such as earthquakes, it is very important to have an effective plan to improve the time to recovery of infrastructure systems. Hence, an effective statistical model needs to be used to evaluate time to recovery of infrastructure. This paper applies some statistical technique from biostatistics; covariate based statistical methods, for estimating the time to recovery as well as identification and qualification of the effect of influence factors on the recovery time. The application of the method is illustrated by a case study from an electric power outage data set.