A Logistic Regression Model to Select and Prioritize Network-Level Project Sections for Sustainable Pavement Management in Texas

In recent years, the increasing gap between available funding and preservation needs influences district pavement engineers to select and prioritize projects for the effective use of funding. However, the current practice of project selection is often made after an informal assessment, based on local conditions and local district engineers’ experience, in the absence of a statewide systematic process. The primary objective of this study is to determine network-level project sections for effective sustainable pavement management using logistic regression analysis. A huge volume of inventory data documented from pavement management information systems (PMIS) was used to develop the logistic regression (LR) model for selecting candidate sections. The LR model was subsequently validated using a single 50-50 split sample method. The findings of this study will assist the Austin district in selecting and evaluating candidate projects. Furthermore, the study will ultimately contribute to efficiency improvement in project selection and prioritization by reducing not only the amount of time necessary to review the District PMIS data to identify project candidates, but also the potential for human error.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AHD18 Pavement Preservation.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Kim, Dae Young
  • Kim, Moo Yeon
  • Chi, Seokho
  • Arellano, Mike
  • Murphy, Michael R
• Conference:
  • Transportation Research Board 92nd Annual Meeting
  • Location: Washington DC, United States
  • Date: 2013-1-13 to 2013-1-17
• Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 13p
• Monograph Title: TRB 92nd Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Decision support systems; Logistic regression analysis; Networks; Pavement management systems; Strategic planning; Sustainable transportation
• Geographic Terms: Austin (Texas); Texas
• Subject Areas: Highways; Maintenance and Preservation; Pavements; I52: Construction of Pavements and Surfacings; I60: Maintenance;

Filing Info

• Accession Number: 01476405
• Record Type: Publication
• Report/Paper Numbers: 13-3110
• Files: TRIS, TRB, ATRI
• Created Date: Mar 21 2013 9:14AM