Date of Award:

12-2012

Document Type:

Thesis

Degree Name:

Master of Science (MS)

Department:

Civil and Environmental Engineering

Committee Chair(s)

Kevin Heaslip

Committee

Kevin Heaslip

Committee

Anthony Chen

Committee

James A. Bay

Abstract

Disasters have the potential to hit any geographical location with or without warning. As such, it is desirable that transportation networks are able to withstand the adverse effect of disasters and maintain the normal functioning of all sectors of society. Resilient transportation networks are least affected by disruptions created by natural and manmade disasters and are still able function with an acceptable level of service. Such networks also have ability to return earlier from disrupted state to the normal functioning state. Resilience possessed by a transportation network measures the ability of networks to maintain functionality despite adverse conditions posed by disruptions as well as the ability to return quickly to normal operating conditions. Measurements of resilience can be important in assessing the degree of preparedness against disasters and act as guidelines for making improvements or providing extra security to critical network pathways. This research attempts to identify properties that determine resilience and presents a method to measure the resilience of a network for disaster scenarios.

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