✔ Visualize patterns and trends by jurisdictional responsibility
✔ Identify effective data-driven strategies for preventing crashes
NC Vision Zero Analytics (NCVZA) is an online data visualization system for safety stakeholders to track traffic safety goals and identify effective data-driven strategies for reducing traffic fatalities in North Carolina.
NCVZA provides a uniform way to track and measure Highway Safety Plan (HSP) crash reduction performance goals statewide among all safety partner stakeholders. Aligning, tracking and visualizing crash reduction performance goals and trends among all agencies provides a data-driven foundation for identifying countermeasure activities that align with the state’s overall crash reduction mission.
The system provides user-specific “views” for different audiences based on geographic areas of responsibility (statewide, troop, troop district, county, municipality). Users are provisioned with views specific for their needs, so they can flexibly adapt planning strategies to more effectively improve traffic safety — a common practice in the business world for making better business decisions.
The main audiences for NCVZA are NC Highway Patrol field supervisors, NC Highway Patrol command staff, statewide Law Enforcement Liasons (LELs), and GHSP staff. Our goal is to add all law enforcement safety partners statewide for collectively improving traffic safety outcomes.
Safety partners continuously track how they are performing against state-level crash reduction goals set forth in the state’s Highway Safety Plan (HSP). This helps identify performance gaps, a first step for developing effective strategies for improvement.
Users interactively sweep the data to visualize patterns and trends, for answering where, why, when, what, and how fatalities are occurring in their geographic area of responsibility. This provides staff with data-driven intelligence so that they can adapt enforcement strategies to maximize effectiveness.
Detailed answers to crash questions are visually revealed by filtering for crash severity, vehicle type, contributing circumstance, time of day, day of week, and many others. Results are depicted in easily understood visual form like maps, heat grids, and data grids, which in turn help guide specific countermeasures for reducing fatalities.