Developing a Transportation Asset Data Lifecycle Ecosystem (TADLE): A Framework of Information Requirements and Flow

State departments of transportation (DOTs) face several challenges in managing their transportation asset data and maintaining the asset condition to a certain level of required serviceability. In the current practices, asset information is siloed and isolated throughout the asset life cycle, resulting in data stagnation and loss. Conversely, understanding data architecture is critical to leverage the value of asset data. Thus, this paper aims to develop a Transportation Asset Data Lifecycle Ecosystem (TADLE) that compiles the information associated with and required for each data life-cycle stage. Furthermore, this study presents a case study to validate and implement TADLE to determine the essential information and data flow associated with managing an ancillary asset throughout its life cycle by a state DOT. The developed framework will support state DOTs in advancing the data and information systems necessary for efficient transportation asset management practices to allow for data computing, analysis, and informed decision-making.

• Record URL:
  • https://ascelibrary.org/doi/10.1061/9780784485248.116
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784485248
• Supplemental Notes:
  • © 2024 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Ammar, Ashtarout
  • Dadi, Gabriel B
  • Nassereddine, Hala
• Conference:
  • ASCE International Conference on Computing in Civil Engineering 2023
  • Location: Corvallis Oregon, United States
  • Date: 2023-6-25 to 2023-6-28
• Publication Date: 2024

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 971-978
• Monograph Title: Computing in Civil Engineering 2023: Resilience, Safety, and Sustainability

Subject/Index Terms

• TRT Terms: Asset management; Data analysis; Data management plans; Life cycle analysis; State departments of transportation
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01908527
• Record Type: Publication
• ISBN: 9780784485248
• Files: TRIS, ASCE
• Created Date: Feb 20 2024 9:16AM