Developing Spatio-Temporal Models for Retrofit and Reconstruction Strategy Under Unscheduled Events

Abstract

The third paper is about the implementation of a spatio-temporal model to develop an infrastructure reconstruction strategy under unscheduled events. The reconstruction strategy chosen to repair damaged transportation network infrastructure after an unscheduled event is important to return the disrupted economy to pre-event status. Moreover, the strategy chosen determines how fast the national economy will recover. The optimal sequence or priority for reconstruction of damaged links needs to be developed in order to quickly restore the economy. This paper proposes and implements the framework for finding the optimal reconstruction strategy by using STAM-2 and a genetic algorithm.