2019 CSCE Annual Conference - Laval (Greater Montreal) Conference
Dr. Sharareh Kermanshachi, University of Texas at Arlington (Presenter)
Since the beginning of the 21st century, experts have increasingly started using resilience analysis of infrastructures to assess damages and performance of infrastructures suffered by disturbing events like natural and/or man-made hazards. Resilience level of infrastructures almost always gets affected due to severe calamitous events whether they encounter visible damages or not. Researchers have developed several methods to define physical condition and/or performance deviations of affected infrastructure by measuring resilience and transportation sector incorporated these models only recently. There are very few studies focusing on comparative analysis based on the advantages and disadvantages of these developed models throughout the literature. Therefore, the aim of this paper is to identify frameworks and analyze them based on their applicability and dimensions. To fulfill this aim a thorough review of literature was conducted to establish definition of resilience concept and identify frameworks. Three resilience measuring models related to technical aspects of transportation infrastructure resilience namely Critical Infrastructure Resilience Decision Support System (CIR-DSS), Cox’s proportional hazards regression model and resilience optimization model were identified to conduct a comparative analysis. Findings of this study will be of great help to researchers as well as to practitioners to adopt appropriate measurement on the severity of damages and identify proactive strategies reducing unintended consequences of disruptive events.