Development of a Roadway Flood Severity Index

This study develops a retrospective Roadway Flood Severity Index (RFSI) capable of integrating geo-located hydrometeorological data and roadway information across localized and multi-state, sub-national regions in order to (1) categorize larger-scale, flood-related transportation disruptions, (2) understand the origins of those disruptions, and (3) identify severity risk levels of individual road segments and broader regions of transportation disruption during flood events. The fundamental question is, as flooding events unfold, can past hydrometeorological inundation information be coupled with transportation system network and mobility data to identify the most vulnerable roadway segments and regions? To address this question, the following tasks are in progress: (1) An ex-post facto analysis of historical flood events and the disruptions that they caused to multi-state, sub-national transportation mobility, focusing on how distinct flood types impact the road network and if any other compounding characteristics (e.g., regional variations, types of flooding, road-specific information) can be identified; (2) A mathematical, machine-learning based RFSI to highlight road segment flood risk for two multi-state regions; and (3) Development of a minimally-viable visualization tool to disseminate RFSI outputs with an emphasis on promotion of data interoperability.

Language

• English

Project

• Status: Active
• Funding: $175000
• Contract Numbers:

  693JK41NE800007

• Sponsor Organizations:

  United States Department of Transportation - FHWA - LTAP

  1200 New Jersey Avenue, SE
  Washington, DC    20590

  Bureau of Transportation Statistics

  1200 New Jersey Avenue SE
  Washington, DC  United States  20590
• Managing Organizations:

  United States Department of Transportation - FHWA - LTAP

  1200 New Jersey Avenue, SE
  Washington, DC    20590

  Bureau of Transportation Statistics

  1200 New Jersey Avenue SE
  Washington, DC  United States  20590
• Project Managers:

  Titlow, Kyle

  Strocko, Ed

• Performing Organizations:

  National Center for Atmospheric Research

  P.O. Box 3000
  Boulder, Colorado  United States  80307
• Principal Investigators:

  Walker, Curtis

• Start Date: 20210629
• Expected Completion Date: 20221231
• Actual Completion Date: 0
• USDOT Program: Transportation, Planning, Research, and Development

Subject/Index Terms

• TRT Terms: Data analysis; Flood damage; Geographic information systems; Hydrologic phenomena; Machine learning; Meteorological phenomena; Risk assessment; Roads
• Subject Areas: Data and Information Technology; Environment; Highways; Hydraulics and Hydrology; Maintenance and Preservation; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01778574
• Record Type: Research project
• Source Agency: National Center for Atmospheric Research
• Contract Numbers: 693JK41NE800007
• Files: RIP
• Created Date: Jul 31 2021 10:29PM