Risk-based flood-planning strategy for Vermont's roadway network.

Details

• Creators:
  Sullivan, James L. ; Novak, David C.
• Corporate Creators:
  University of Vermont. Transportation Research Center
• Corporate Contributors:
  United States. Department of Transportation
• Subject/TRT Terms:
  Floods Highway Capacity Networks Probability Density Functions Risk Management Transportation Planning
• Publication/ Report Number:
  TRC Report 14-016
• Resource Type:
  Tech Report
• Geographical Coverage:
  Vermont
• Corporate Publisher:
  University of Vermont. Transportation Research Center
• Abstract:
  In this project, the authors extend the use of a previously established measure of link-specific criticality, the Network Robustness Index (NRI), to address disruptions in Vermont’s federal-aid road network caused by summertime flooding. The goal of the project is to identify the most critical links in the state-wide roadway network by quantifying the impacts associated with real-world flooding threats. Links, or road segments, are rank-ordered using a risk-based probability approach that takes into account the likelihood that a particular link will be flooded, the expected reduction in capacity on the affected link due to the flooding event, and the dynamic rerouting of travelers. This report describes a novel network-disruption model that includes the probabilities of some type of capacity disruption on a link-by-line basis for a realistic flood threat framework in the state Vermont. The loss of capacity resulting from rainfall and flooding events can be estimated for each link in the roadway network using a disruption probability density function (PDF). The authors combine an established measure of link specific network-wide vulnerability, the NRI, with link specific disruption PDFs to produce a link-specific flood disruption risk metric for the entire roadway network.
• Format:
  PDF
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:54ceab06b09f084f1318b774c14bddc0ea00c56225598e60046bd6ee59d499982fffefcd3ebebcb483a3a0f84c0c806e61bed149c0eecf02fd6b39c882123671
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/29352/dot_29352_DS1.pdf
• File Type:
  [PDF - 2.17 MB ]