Proactive Management of Mobility Impact of Interdependent Subsurface Utility and Roadway Construction through Incentives

This study aims to assist maintenance agencies in scheduling maintenance activities when assessing the impacts of conducting maintenance on a bridge and the cost of the detour, and the risk of crashes during the presence of the maintenance activity. Firstly, the authors build a predictive infrastructure maintenance expenditure model that predicts the reduced annual routine maintenance expenditure of one bridge whose structural conditions are improved due to the scheduled maintenance. Secondly, the authors applied a mesoscopic dynamic traffic assignment model to estimate the detour cost of work zones incurred by road users in high spatial and temporal resolution (miles and minutes) and a regional traffic network. The authors performed a case study on one real-world bridge in Pittsburgh. The simulated results provide an estimation of detour cost incurred by road users, including travel time and CO₂ emissions. Thirdly, the authors proposed a causal inference model based on regression discontinuity design (RDD) to estimate the traffic crash risk caused by the presence of work zones. It helps highway agencies to predict the safety impact of one scheduled maintenance activity.

• 
• Summary URL:
  https://ppms.cit.cmu.edu/projects/detail/198
• Dataset URL:
  https://andyzr.github.io/UTC-research-project/
• Record URL:
  https://ppms.cit.cmu.edu/media/project_files/Final_Report_-_198_mm8wyKT.pdf
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/59871
• Dataset URL:
  https://rosap.ntl.bts.gov/view/dot/61743
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program. Supporting datasets available at: https://andyzr.github.io/UTC-research-project/; https://rosap.ntl.bts.gov/view/dot/61743
• Corporate Authors:

  Mobility21 (University Transportation Center)

  Heinz College, Carnegie Mellon University
  5000 Forbes Ave, Hamburg Hall
  Pittsburgh, PA  United States  15213-3890

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Zhang, Zhuoran
  • 0000-0001-5527-7996
  • Akinci, Burcu
  • 0000-0002-0544-3068
  • Qian, Sean
  • 0000-0001-8716-8989
• Publication Date: 2021-4-14

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Research Report
• Features: References; Tables;
• Pagination: 16p

Subject/Index Terms

• TRT Terms: Case studies; Construction scheduling; Costs; Crash risk forecasting; Detours; Dynamic traffic assignment; Highway bridges; Pollutants; Road construction; Travel time; Work zones
• Geographic Terms: Pittsburgh (Pennsylvania)
• Subject Areas: Bridges and other structures; Construction; Highways; Maintenance and Preservation; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01771671
• Record Type: Publication
• Contract Numbers: 69A3551747111
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: May 21 2021 10:54AM