Quantifying and Improving Time-Dependent Extreme Event Resilience of Road Networks

A framework to quantify and improve the time evolving resilience of road networks susceptible to extreme events during a long planning horizon has been developed. Herein, for computational efficiency, Bayesian networks were used to quantify resilience while considering performance objectives for the road network defined by the stakeholders, extreme event such as natural hazards, and combinations of mitigation strategies. A linear programming-based resource-constrained project scheduling methodology was employed to identify the combinations of mitigation and response measures that satisfy given monetary and resource constraints. The time dependent resilience quantification method was applied to a small theoretical road network subject to random attacks to assess the connectivity to essential service locations while considering mitigation measures that vary with time, associated costs, and resource constraints. Additionally, preliminary analyses were conducted to apply the framework to the road network in Morgan City, Houma, and Grand Isle region subjected to hurricane hazards to evaluate connectivity to essential facilities. The results indicate that the framework’s ability to model and capture the changes in resilience as mitigation measures are implemented over time and filter out measures that do not fit the time varying resource constraints.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; References; Tables;
  • Pagination: 51p

Subject/Index Terms

Filing Info

  • Accession Number: 01835666
  • Record Type: Publication
  • Report/Paper Numbers: FHWA/LA.17, LTRC Project Number: 21-4TIRE, SIO Number: DOTLT1000370
  • Files: TRIS, ATRI, USDOT, STATEDOT
  • Created Date: Feb 9 2022 1:59PM