Roadway Safety Data Analysis and Risk Modeling

The City of Redding is seeking a subcontractor to conduct a systemic analysis of collision data to identify high-risk roadway segments and develop predictive risk models that will inform the prioritization of safety improvements. This work involves aggregating and evaluating historical traffic collision datasets to uncover patterns, trends, and contributing factors associated with crash occurrences. The goal is to produce actionable insights that enable data-driven decision-making for infrastructure enhancements aimed at reducing crashes and improving road safety across the region. The contractor will be expected to apply advanced analytical techniques and modeling methods to forecast future risk exposure and recommend targeted interventions. The contract falls under NAICS code 541620, categorizing it as a scientific and technical consulting service, and is specifically a subcontract opportunity. Performance of the work is tied to Redding, California, with no alternative locations specified. The solicitation was posted on June 18, 2026, and while no set-aside provisions or point of contact details are provided, the project is accessible through the CEQA Net platform for further details. The anticipated outcome is a validated risk prioritization framework that local agencies can utilize to allocate resources efficiently toward the most critical safety needs.