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Abstract

Redundancy is vital for transportation networks to provide utility to users during disastrous events. In this project, we develop two network-based measures for systematically characterizing the redundancy of transportation networks: travel alternative diversity and network spare capacity. The travel alternative diversity dimension evaluates the existence of multiple modes and effective routes available for travelers or evaluates the degree of effective connections between a specific origindestination pair. The network spare capacity dimension quantifies the network-wide residual capacity with explicit consideration of traveler mode and route choice behavior as well as congestion effects. They can address two fundamental questions in the predisaster transportation system evaluation and planning, i.e., "how many effective redundant alternatives are available to travelers in the event of a disruption?" and "how much redundant capacity does the network have?" To implement the two measures in practice, computational methods are provided to evaluate the network redundancy. Numerical examples are also presented to demonstrate the features of the two redundancy measures as well as the applicability of the computational methods. The analysis results reveal that the two measures have different characterizations on network redundancy from different perspectives, and they can complement each other by providing meaningful information to both travelers and planners.

How to Cite

Xu, Xiangdong, Anthony Chen, and Seungkyu Ryu. Development of Network-Based Measures and Computational Methods for Evaluating the Redundancy of Transportation Networks, MPC-17-327. North Dakota State University - Upper Great Plains Transportation Institute, Fargo: Mountain-Plains Consortium, 2017.