Abstract

Ground transportation systems are critical to the economy, safety, and quality of life of any community. Thus, engineers and policy-makers need to make sure that these systems are resilient to the impact of natural and man-made hazards. One of the current obstacles for achieving more resilient ground transportation systems is the lack of a resilience-measuring framework for traffic applications. This research addresses this gap by exploring the adaptation of two infrastructure resilience measuring models to traffic-based applications. The implications of the two adaptations when measuring the resilience of ground transportation systems were analyzed. Moreover, a pilot study conducted for a small urban network illustrates the quantification process and the results obtained when using the two frameworks. These results show that vehicular traffic has unique characteristics which make a continuous deterministic model more suitable to traffic applications than a probabilistic one.

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