Optimizing Project Bundling Strategies for State DOT Efficiency - David Iyiola

Year
2024
Tags
project bundling
transportation infrastructure
procurement efficiency
government spending
contractor competition
cost reduction
machine learning algorithms
public works
maintenance projects
Tennessee DOT
infrastructure planning
optimisation
tax value
civil engineering
Tennessee
Summary

This research develops an algorithmic framework to proactively bundle small transportation projects, increasing contractor competition and reducing costs. Using a decade of Tennessee DOT data, it identifies optimal project groupings and flags combinations that reduce efficiency. Bundling improves value for agencies, contractors, and taxpayers, addressing significant waste in current procurement systems.