Modeling transportation network redundancy

Xiangdong Xu, Anthony Chen, Sarawut Jansuwan, Kevin Heaslip, Chao Yang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

16 Citations (Scopus)

Abstract

Redundancy is vital for transportation networks to provide utility to users during disastrous events. In this paper, we develop two network-based measures for systematically characterizing the redundancy of transportation networks: travel alternative diversity and network spare capacity. Specifically, the travel alternative diversity dimension is to evaluate the existence of multiple modes and effective routes available for travelers or the number of effective connections between a specific origin-destination pair. The network spare capacity dimension is to quantify the network-wide residual capacity with an explicit consideration of travelers' mode and route choice behaviors as well as congestion effect. They can address two fundamental questions in the pre-disaster transportation system evaluation and planning, i.e., "how many effective redundant alternatives are there for 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.
Original languageEnglish
Pages (from-to)283-302
Number of pages20
JournalTransportation Research Procedia
Volume9
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes

Keywords

  • network spare capacity
  • redundancy
  • travel alternative diversity

ASJC Scopus subject areas

  • Transportation

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