People, industries, and public agencies all face the possibility of sudden events that disrupt their normal activities. Disasters on the transportation network, whether attributable to nature, human error, or human intent, raise awareness of the need for plans of action to quickly restore mobility. Resilience of the transportation network is the capacity to absorb the effects of a disruption and to quickly return to normal operating levels. Resilience measures are useful to evaluate and predict disruptions and recovery and to guide infrastructure investments that protect against those disruptions or that accelerate recovery after a disruption. This paper presents a methodology for estimating two composite resilience measures—reduction and recovery. The method is illustrated by using resilience triangles derived from sampled truck speeds and counts along the Interstate 90 / 94 corridor from Hudson to Beloit, Wisconsin during two significant weather events in 2008. This paper presents a set of criteria, on the basis of observed effects on various sections of the highway corridor, to qualify the computed resilience measures. In this paper, the focus is on generalizing the characteristics of the resilience response rather than characteristics of the corridor sections that lead to patterns of the response for each section. The criteria and the measures together are a useful tool to evaluate resilience.


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    Title :

    Freight Resilience Measures


    Contributors:

    Published in:

    Publication date :

    2012-10-15


    Size :

    72012-01-01 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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