Selecting the Most Feasible Construction Phasing Plans for Urban Highway Rehabilitation Projects [supporting dataset]

Despite the abundance of research that has aimed to understand the effects of highway work zones, very little definitive information is available concerning the determination of work zone length (WZL). Quantitative studies that holistically model WZL are very rare. To fill this gap, this study identifies critical factors affecting WZL and develops decision support models that determine the optimal WZL in a balanced tradeoff between motorists’ inconvenience due to traffic disruption and their opportunity cost. A high-confidence dataset was created by conducting a series of scheduling and traffic simulations and analyses. The results revealed that traffic loading and work zone duration are critical factors, with traffic loading at approximately 41,000 vehicles-per-day being an important benchmarking point. Based on these findings, a decision support model was developed to determine the most feasible WZL. As the first of its kind, this study will help state transportation agencies devise sounder construction phasing plans by providing a point of reference when establishing WZL in a viable way to minimize traffic disruption during construction.

• Record URL:
  https://doi.org/10.5281/zenodo.4270584
• Dataset URL:
  https://doi.org/10.5281/zenodo.4270586
• Record URL:
  https://digitalcommons.lsu.edu/transet_pubs/71
• Dataset URL:
  https://digitalcommons.lsu.edu/transet_data/70/
• Dataset URL:
  https://rosap.ntl.bts.gov/view/dot/61816
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/58932
• Supplemental Notes:
  • The dataset supports report: Selecting the Most Feasible Construction Phasing Plans for Urban Highway Rehabilitation Projects, available at the URL above. This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Transportation Consortium of South-Central States (Tran-SET)

  Louisiana State University
  Baton Rouge, LA  United States  70803

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Choi, Kunhee
  • 0000-0002-0184-2977
  • Jeong, H David
  • 0000-0003-4074-1869
  • Lee, Yong-Cheol
  • 0000-0002-0040-0894
  • Yin, Yangtian
• Publication Date: 2020-10

Language

• English

Media Info

• Media Type: Dataset
• Dataset publisher:

  LSU Digital Commons

  ,    

  Zenodo

  ,    

Subject/Index Terms

• TRT Terms: Construction scheduling; Decision support systems; Rehabilitation; Time duration; Traffic loads; Traffic simulation; Urban highways; Work zones
• Subject Areas: Highways; Maintenance and Preservation; Planning and Forecasting;

Filing Info

• Accession Number: 01776078
• Record Type: Publication
• Contract Numbers: 69A3551747106
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Jul 7 2021 9:31AM