Systematic and Quantitative Approaches to Assess the Probability of Extreme Weather and Resilience Risks for TxDOT Highways and Bridges [Project Summary Report]

Details

• Creators:
  Birt, Andrew ; Prozzi, Jorge ; Hong, Feng ; Weissmann, Jose ; Mostafavi, Ali ; Ma, Junwei ; Li, Ruohan
• Corporate Creators:
  Texas A&M Transportation Institute ; University of Texas at Austin ; University of Texas at San Antonio ; Texas State University--San Marcos
• Corporate Contributors:
  Texas Department of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Assets Bridges Data Collection Decision Making Evaluation Floods Highways Literature Reviews Pavements Probability Quantitative Analysis Resilience (Materials) Risk Assessment Weather

  More +
• Publication/ Report Number:
  0-7191
• Resource Type:
  Brief
• Geographical Coverage:
  United States ; Texas
• Edition:
  Project Summary Report
• Corporate Publisher:
  Texas A&M Transportation Institute
• Abstract:
  The research team undertook a multi-phase study to build a flood-based risk and resilience assessment framework: • Reviewed peer state TAMPs and literature to identify current practices, gaps, and opportunities for integrating resilience. • Selected flooding as the primary disturbance agent for analysis, given its significance in Texas and the availability of statewide flood models. • Developed and applied geographical information system–based methods using Texas Water Development Board (TWDB) flood exposure datasets to quantify flood depth, extent, and frequency across multiple return periods and future climate scenarios. • Conducted risk assessments at the roadway and district levels, overlaying TxDOT asset data with TWDB flood maps to estimate exposure of pavements and bridges. • Modeled chronic impacts of flooding on pavement life cycles, creating fragility curves for different pavement types and integrating flood effects into maintenance and rehabilitation cost projections. • Assessed bridge risks by combining flood depth data with elevation and structural information, highlighting challenges of digital elevation model–based flood mapping for bridge decks. • Explored adaptation strategies and proxy indicators that could support decision-making, including the use of LIDAR-based elevation data and natural infrastructure approaches.
• Format:
  PDF
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:0609b8413f9cb17aa32b17bef3587111fe6b267ff41d62721f18a25974233c52238e4d64efa53e104e0b07cb9e9d03fe386180fd66b354b7e56bf97dcfd15811
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/88503/dot_88503_DS1.pdf
• File Type:
  [PDF - 250.49 KB ]