Development of Network-Based Measures and Computational Methods for Evaluating the Redundancy of Transportation Networks

The objectives of this report are twofold: (1) to develop network-based measures for systematically characterizing the redundancy of transportation networks, and (2) to develop computational methods for evaluating the network-based redundancy measures. Travel alternative diversity and network spare capacity are developed as two quantitative measures to capture the considerations of travelers and planners (i.e., the two main decision-making stakeholders in transport systems). They can address two fundamental questions in the pre-disaster transport 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?” In the context of a general network resiliency evaluation framework, the proposed measures of network redundancy can be considered as a critical component in assessing network resiliency and also designing a transportation network more resilient against disruptions. Two additional objectives are to collect data from different sources to develop a case study for evaluating the redundancy of a real transportation network and to conduct a case study using the city of Winnipeg, Canada.

• Record URL:
  http://www.ugpti.org/resources/reports/downloads/mpc17-327.pdf
• 
• Summary URL:
  http://www.ugpti.org/resources/reports/downloads/mpc17-327-brief.pdf
• Supplemental Notes:
  • This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Utah State University, Logan

  Department of Civil and Environmental Engineering, 4110 Old Main Hill
  Logan, UT  United States  84322-4110

  Mountain-Plains Consortium

  North Dakota State University
  Fargo, ND  United States  58108

  Research and Innovative Technology Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Xu, Xiangdong
  • Chen, Anthony
  • Ryu, Seungkyu
• Publication Date: 2017-7

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 33p

Subject/Index Terms

• TRT Terms: Case studies; Data collection; Disaster resilience; Mode choice; Redundancy; Route choice
• Uncontrolled Terms: Computational methods; Network capacity; Transportation networks; Travel disruptions
• Geographic Terms: Winnipeg (Canada)
• Subject Areas: Operations and Traffic Management; Planning and Forecasting; Transportation (General);

Filing Info

• Accession Number: 01643853
• Record Type: Publication
• Report/Paper Numbers: MPC 17-327
• Files: UTC, TRIS, RITA, ATRI, USDOT
• Created Date: Aug 21 2017 11:15AM