An Exploratory Data Analysis of National Bridge Inventory

The National Bridge Inventory (NBI) database is the largest collection of bridge data in the world. This database contains detailed information on more than 600,000 United States highway bridges and large culverts over a period of several decades. The NBI is owned and maintained by the United States Federal Highway Administration (FHWA). There has been very little analysis performed on the NBI from the perspective of data mining and knowledge discovery; therefore, the objectives of this study are to compile and consolidate all available historical NBI data into a data warehouse, and to discover previously unknown patterns, trends and relationships hidden inside the data. The scope of the study includes data integration, summary and descriptive statistics, and knowledge discovery process for temporal and spatial patterns. Advanced analytical methods such as exploratory data analysis and knowledge discovery are utilized as research methodologies for this study. The combination of these methods, coupled with geographic information system (GIS) software, is effective in extracting information from the datasets and representing the visual patterns.

• Record URL:
  • http://www.mautc.psu.edu/docs/UVA-2009-03.pdf
• 
• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/38772
• Corporate Authors:

  University of Virginia, Charlottesville

  Center for Transportation Studies
  P.O. Box 400742, Thornton Hall, D228
  Charlottesville, VA  United States  22903

  Mid-Atlantic Universities Transportation Center

  Pennsylvania State University
  201 Transportation Research Building
  University Park, PA  United States  16802-4710

  Research and Innovative Technology Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Wu, Nien-Chun
  • Chase, Stephen
• Publication Date: 2010-5

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Appendices; Figures; References; Tables;
• Pagination: 138p

Subject/Index Terms

• TRT Terms: Culverts; Data analysis; Data mining; Data warehouses; Databases; Highway bridges
• Identifier Terms: National Bridge Inventory
• Geographic Terms: United States
• Subject Areas: Bridges and other structures; Data and Information Technology; Highways; I24: Design of Bridges and Retaining Walls;

Filing Info

• Accession Number: 01499708
• Record Type: Publication
• Report/Paper Numbers: UVA-2009-03
• Contract Numbers: DTRT07-G-0003
• Files: UTC, TRIS, RITA, ATRI, USDOT
• Created Date: Nov 21 2013 9:22AM