A Sustainable Performance‐Based Methodology to Address the Impact of Climate Changes on the “State of Good Repair” of Transportation Infrastructure

The existing transportation infrastructure system is designed for today’s conditions. However, climate change effect (e.g. changes in temperatures, humidity, precipitation, seasonal hydrology, flooding, and increased sea levels) may adversely impact the system so that it is not able to function as designed in the future. This research will investigate how to incorporate performance measures for climate change and risk assessment methods into Transportation Asset Management (TAM) practices. Current performance measures and analytical methods will be reviewed in context of the climate change predictions, including gradual increase in temperature, sea level rise, flooding, heat and cold waves, extreme rainfall, and extreme wind events. Uncertainty, extent of disruption, severity of disruption, as well as rate of change will be considered to identify the most disruptive and time critical vulnerabilities of transportation assets. Mitigation strategies will be studied from a TAM implementation perspective to enhance the resilience of transportation infrastructure. The results of this research will facilitate transportation agencies to incorporate climate change effects and risk assessment in the TAM decision making process specifically when formulating sustainable strategic plans to preserve the transportation infrastructure in a “State of Good Repair”.


    • English


    • Status: Completed
    • Sponsor Organizations:

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590
    • Start Date: 20161101
    • Expected Completion Date: 0
    • Actual Completion Date: 0

    Subject/Index Terms

    Filing Info

    • Accession Number: 01625543
    • Record Type: Research project
    • Source Agency: Southern Plains Transportation Center
    • Files: UTC, RiP
    • Created Date: Feb 4 2017 11:39AM