Write Up:

During the fourth quarter of 2024, MoDOT’s Seatbelt Unbuckled Rule decreased slightly from .020 in the third quarter to .018 in the fourth quarter. The average number of events in the fourth quarter decreased from 86 in the third quarter to 53 in the fourth quarter.

The average number of violations for speeding over 6 mph this quarter was six, which is down from the third quarter at an average rate of .0020. The fourth quarter violations for speeding over 15 mph totaled four which is up one from last quarter.

The rate goal for the Backing When Leaving Rule is less than 10 rate events per 1,000 miles. The fourth quarter rate increased from last quarter from an average of 13 in the third quarter, to an average of 15. There was an average of 45,243 events for the fourth quarter, down by 2,130 from last quarter’s average.

In the past, safety scorecards were used to show individual scores by vehicle. Since the inception of employee key fobs, the safety scorecards are now specific to each driver. Rates above 95% on the Driver Safety Scorecard indicate the driver is at low risk for an accident. MoDOT's overall driver safety average is 97.0% for the fourth quarter.

Purpose of the Measure:

Wearing seat belts, adhering to posted speed limits, and limiting backing, are the very basics of a safe workplace.  Seat belt use and following the posted speed limits are also Missouri state law. This measure will track how MoDOT is performing on the very basics of a safe workplace.  This is just one small piece of a much larger effort to ensure every team member goes home safe each and every day.

Measurement and Data Collection:

Using telematics and GPS technology, MoDOT monitors and collects data about seat belt usage and speeding, among other metrics, in MoDOT’s fleet ensuring vehicles are being operated in a safe manner. This data is used extensively to answer customer questions regarding snow removal and investigate allegations of damage caused by MoDOT fleet. This measure will compare aggregate number of events along with rate events. Rate events may show a more accurate representation of events, while number of events may be skewed based on actual miles driven. The rate is broken down by exceptions that happen every 1,000 miles driven, which gives a fair comparison from month to month.