Abstract
This paper reviews and discusses modeling approaches to identify critical components of transportation systems. The review includes approaches based on economic theory, complex network science techniques and network optimization models. The economic model derives the criticality of the components of the transportation system using concepts from welfare economics. To derive approximate insights into assessing critical components, a model based on complex network science is developed. This model uses the shortest distance as a measure for the efficiency of the network with and without the components. Finally, the paper discusses network interdiction models, which are useful in identifying critical links under strategic behavior of agents. The modeling methodologies presented here are a promising step in assessing critical components and in the optimal use of scarce funding to improve transportation security.
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Ukkusuri, S.V., Holguín-Veras, J. (2007). Assessing Critical Components in Transportation Systems: Economic Models and Complex Network Science Approaches. In: Friesz, T.L. (eds) Network Science, Nonlinear Science and Infrastructure Systems. International Series in Operations Research & Management Science, vol 102. Springer, Boston, MA. https://doi.org/10.1007/0-387-71134-1_9
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DOI: https://doi.org/10.1007/0-387-71134-1_9
Publisher Name: Springer, Boston, MA
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