Intermodal Transportation Systems Risk Analysis and Resilience in New Madrid Seismic Zone: the Impact to Mississippi

Being one of the nation’s top intermodal hubs, the Memphis area is vulnerable to large scale disasters, especially a large earthquake. This research presents two results. One a framework that visualizes transportation system risk profiles, with a particular focus on earthquakes, and another a model that uses this information to optimize recovery strategies. The first uses data from the United States Geological Survey (USGS) to create a risk probability map that is used to create individual risk profiles that are combined to form a cumulative risk profile. The second is the combination of a constructor, ordering algorithm, and traffic simulator that optimizes recovery strategies. The presented framework and model can be utilized together for simulation purposes, or separately where the first can be used to easily visualize failure probabilities to assist with planning and where the second can be used to determine effective recovery strategies in the aftermath of any disaster, not exclusively a seismic event. This framework and model provide valuable information that can be used to improve the Memphis area infrastructure system by improving infrastructure resilience and emergency recovery strategies and have the ability to be calibrated to any area of concern with minimal effort.

  • Record URL:
  • Supplemental Notes:
    • This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Mississippi State University, Mississippi State

    Department of Civil and Environmental Engineering, 501 Hardy Road
    P.O. Box 9546
    Mississippi State, MS  United States  39762

    National Center for Intermodal Transportation for Economic Competitiveness

    Mississippi State University
    479-2 Hardy Road 260 McCain Hall
    Mississippi State, MS  United States  39762

    Research and Innovative Technology Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Zhang, Li
    • Fulcher, William Case
    • Zhang, Lei
    • Green Jr, John K
  • Publication Date: 2016-6


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 46p

Subject/Index Terms

Filing Info

  • Accession Number: 01604934
  • Record Type: Publication
  • Report/Paper Numbers: NCITEC Project No. 2012-15
  • Created Date: Jul 20 2016 9:47AM