Network Screening Methods Comparison

This dataset supports a study that evaluates three network screening methods—Global Risk Scoring (GRS), Crash Risk Index (CRI), and Predicted Empirical Bayes (P-EB)—for identifying safety improvement sites on rural roads. The dataset includes historical crash data, traffic, and roadway information from Oregon's rural two-lane road network. It facilitates a comparative analysis of the methods, highlighting their strengths: GRS aligns closely with historical crash data, P-EB demonstrates superior consistency across time periods for long-term planning, and CRI shows balanced performance regardless of the scenario. The dataset serves as a resource for transportation agencies to select appropriate methods based on available data and planning needs.