Resilience-Based Recovery Planning of Transportation Network Following Earthquakes

Details

• Creators:
  Wu, Yangyang ; Hou, Guangyang ; Chen, Suren
• Corporate Creators:
  Colorado State University. Department of Civil and Environmental Engineering ; Mountain-Plains Consortium
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  Disaster Resilience Earthquakes Evaluation And Assessment Infrastructure Network Analysis (Planning) Traffic Safety Transportation Planning
• Publication/ Report Number:
  MPC-642
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  Mountain-Plains Consortium
• Abstract:
  An efficient and safe transportation system is essential to communities during the long-term recovery period after earthquakes. A disrupted transportation network due to infrastructure damage or failure affects the functionality of the traffic system and poses increased traffic safety risks. A rational assessment of the traffic network performance in terms of both traffic efficiency and safety cannot only provide comprehensive quantification of system resilience but also enable more risk-informed post-hazard recovery planning. A new methodology to assess the resilience performance of transportation networks during post-earthquake long-term recovery period is developed in this study with two main innovative contributions: (1) simulating the traffic performance of partially closed road segments in the network simulation and optimization, which offer useful tool to capture the time-progressive recovery process; and (2) integrating both traffic efficiency and safety into the resilience assessment and recovery prioritization. After a resilience indicator is introduced to characterize the overall traffic efficiency and safety of the transportation network using probabilistic sampling method, a comprehensive restoration priority measure is proposed to support post-earthquake restoration of damaged bridges. A demonstrative study is conducted on a hypothetical network system located in an earthquake prone area.
• Format:
  PDF
• Funding:
  69A3551747108
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:568235ee97a697ddc19ec5ebb3fccbd3114e58fa81722ef553c0a8dcf62d0a1e34e8475d7b365a9d28f6f10ee3e4ea94d0726ac1c8337661848bca2407acee7a
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/78553/dot_78553_DS1.pdf
• File Type:
  [PDF - 1.64 MB ]