Which of the following is NOT a step in Data-Driven Safety Management Processes?

• A. Network Screening
• B. Diagnosis
• C. Select Countermeasures
• D. Randomization

Answer: (D)

Data-Driven Safety Management Processes focus on using data to identify where safety problems exist, understand why they occur, and decide which actions will reduce risk. Network screening scans crash and exposure data to locate high-risk locations or behaviors. Diagnosis then digs into the data to uncover the underlying factors contributing to those problems, such as infrastructure, driver behavior, or environmental conditions. Selecting countermeasures involves choosing evidence-supported interventions to address the diagnosed issues and estimating their potential impact on safety.

Randomization is a research method used to assign interventions by chance to test causal effects in controlled studies. It isn’t a standard step in planning and managing safety improvements. In real-world safety programs, interventions are typically implemented and evaluated using observational or quasi-experimental designs rather than random assignment across sites. Therefore, randomization does not fit as a step in the Data-Driven Safety Management Process.