U.S. Freight Network Resiliency Analysis [supporting dataset]

Details

• Creators:
  Wang, Bruce ; Zhang, Yunlong ; Han, Lee ; Zou, Bo
• Corporate Creators:
  Center for Freight Transportation for Efficient and Resilient Supply Chain (FERSC) Tier 1 University Transportation Center (UTC)
• 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 ; United States. Department of Transportation. Federal Highway Administration ; Tennessee. Department of Transportation ; Walmart ; Oak Ridge National Laboratory
• Subject/TRT Terms:
  Analysis Cyclones Data Analysis Data Files Failure Freight Service Infrastructure Recommendations Resilience (Materials)
• DOI:
  https://doi.org/10.5281/zenodo.14226374
• Resource Type:
  Dataset
• Right Statement:
  Open Access; https://creativecommons.org/licenses/by/4.0/
• Geographical Coverage:
  United States
• Corporate Publisher:
  Center for Freight Transportation for Efficient & Resilient Supply Chain
• Abstract:
  The freight system is a complex, interconnected integration of subsystems—including ports, highways, and critical infrastructure like bridges—all of which are potentially vulnerable to various disturbances, such as extreme weather events or structural fractures. This project is a collaboration between TAMU and UTK, focusing on the analysis and enhancement of U.S. freight network resilience. TAMU’s effort, enhancing port resilience to impending tropical cyclones by estimating impact rankings with a deep recommendation algorithm, focuses on alleviating the impact of tropical cyclones on port operations, while UTK’s effort, freight network resilience in response to infrastructure failures, focuses on analyzing the impact of infrastructure failures on the surface transportation system.
• Content Notes:
  This item is made available under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Use the following citation: Zhang, Y. (2024). U.S. Freight Network Resiliency Analysis: Project dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14226374
• Format:
  ZIP
• Funding:
  69A3552348338
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:559dc7c4f754dd311332bdf0c91dcdfbc774238643a71c07f1a42a9a0ceaa08f9b4b20d212e34499c44a94636df847d49f088c434a4ae8ae1b1e3d50dd0b1122
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/87359/dot_87359_DS1.zip
• File Type:
  [ZIP - 139.65 KB ]