A Transportation Network Efficiency Measure that Captures Flows, Behavior, and Costs With Applications to Network Component Importance Identification and Vulnerability

Proceedings of the POMS 18th Annual Conference, Dallas, Texas, U.S.A., May 4 to May 7, 2007

22 Pages Posted: 11 Apr 2007

See all articles by Anna Nagurney

Anna Nagurney

University of Massachusetts Amherst - Isenberg School of Management - Department of Operations and Information Management

Qiang Qiang

Pennsylvania State University - Great Valley School of Graduate Professional Studies

Abstract

In this paper, we propose a transportation network efficiency measure that can be used to assess the performance of a transportation network and which differs from other proposed measures, including complex network measures, in that it captures flows, costs, and travel behavior information, along with the topology. The new transportation network efficiency measure allows one to determine the criticality of various nodes (as well as links) as we demonstrate through a network component importance definition, which is well-defined even if the network becomes disconnected. Several illustrative transportation network examples are provided in which the efficiencies and importance of network components are explicitly computed, and their rankings tabulated.

This framework can be utilized to assess the vulnerability of network components in terms of their criticality to network efficiency/performance and to, ultimately, enhance security.

Keywords: transportation networks, efficiency measure, performance measure, vulnerability, critical network components, network equilibrium, critical infrastructure

JEL Classification: C61, C63, L91, R41, C68

Suggested Citation

Nagurney, Anna and Qiang, Qiang, A Transportation Network Efficiency Measure that Captures Flows, Behavior, and Costs With Applications to Network Component Importance Identification and Vulnerability. Proceedings of the POMS 18th Annual Conference, Dallas, Texas, U.S.A., May 4 to May 7, 2007, Available at SSRN: https://ssrn.com/abstract=979328 or http://dx.doi.org/10.2139/ssrn.979328

Anna Nagurney (Contact Author)

University of Massachusetts Amherst - Isenberg School of Management - Department of Operations and Information Management ( email )

Amherst, MA 01003-4910
United States

Qiang Qiang

Pennsylvania State University - Great Valley School of Graduate Professional Studies ( email )

30 E. Swedesford Rd
Malvern, PA 19355
United States

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