Integrated Data for Improved Asset Management

Virginia Department of Transportation (VDOT) has made and continues to make significant investments in data collection. These efforts have resulted in a wealth of information that is used to support agency wide asset management and decision-making. However, to most effectively utilize these data it will be important to integrate data collected and maintained by individual divisions of the agency. The objective of this research is to demonstrate the potential benefits for agency-wide data integration for VDOT asset management. This objective is achieved through an example application that requires information distributed across multiple databases both internal and external to VDOT to address. The example application focuses on a case study for the Hampton Roads region where data is integrated in order to identify bridge assets with high traffic volumes that are vulnerable to flooding for different return period rainfall events. Answering this question requires the integration of data from bridge databases, traffic databases, and hydrology-related datasets both internal and external to VDOT. Transportation infrastructure is facing increasing challenges due to climate change including more extreme rainfall events, so studies like this are critical to understanding how data across VDOT departments can be leveraged to enhance decision making. This analysis provides an estimate of which bridge assets are vulnerable to flooding from extreme events, which of these bridges are most critical to the transportation network due to traffic volumes, and ultimately a mechanism that combines this information to help identify critical bridge assets vulnerable to flooding.


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 20p

Subject/Index Terms

Filing Info

  • Accession Number: 01663177
  • Record Type: Publication
  • Created Date: Feb 8 2018 10:17AM