Background: Young drivers have higher crash risk due to inexperience, immaturity and tendency to engage in high risk driving behaviors (Williams, 2003). Although crash risks maybe low while young drivers are learning to drive, they are typically driving with an adult. The crash risk increases tenfold when independent driving begins (Mayhew, Simpson & Oak, 2003).

Objectives: The study’s objective was to use GPS coordinates from DriveCam event capturers to map and analyze locations of events.

Methods: DriveCam event recorders were previously placed in participants vehicles. Previously compiled data was imported into ArcGIS, a mapping software. These global positioning (GPS) coordinates were mapped and analyzed. Next, the data of each event was digitized in order to calculate the X,Y coordinates of each school which was then used as a centroid for the school. After this calculation, events located within a half mile radius of the school were analyzed. These events were put into an Excel spreadsheet and imported into SAS. Once in SAS, data was analyzed using univariant analysis.

Results: Thus far we have found substantial clusters that occur within a half mile radius from school grounds. Also clusters occur at specific times of day and some are of a reckless nature. Each school varied on when time of day had the highest percentage of events and locations also varied. This leads us to believe that possible interventions must be tailored very specifically for each school.