Utility Industry Driver Study Shows Collision-Causing Behaviors
SAN DIEGO - The study analyzed more than 8,000 active drivers in the utilities industry between July 2009 and December 2010.
SAN DIEGO – A new study released by DriveCam, which analyzed video event recorder data during collision incidents, found that in the utility industry, drivers who have been involved in collisions are more likely to get into a collision when using communications devices other than cell phones or eating and/or drinking. The study of distracted driving behavior analyzed more than 8,000 active drivers in the utilities industry between July 2009 and December 2010.
DriveCam’s findings revealed that, when compared to drivers who have not had a collision, utility drivers involved in one or more collisions are:
5.70 times more likely to use other communication devices
4.16 times more likely to eat and/or drink
4.00 times more likely to use a handheld cell
3.95 times more likely to be distracted by any type of identified distraction
In the study, what qualifies as “other communications devices” includes Nextel/chirp devices, CB Radio, 2-way radios/walkie-talkies, and similar devices.
DriveCam evaluated the difference in behavior between drivers who had experienced collisions and those who hadn’t to identify those with a statistically significant difference. Once the company had identified those drivers, those conducting the study calculated the probability of a collision based on the number of times a specific type of distraction was identified, using in-cab video recordings.
The company said it undertook the review of collision event video recordings to better understand the behaviors that lead to collisions.
More Safety

Managing Road Risk at Scale: Why Fleet Safety Needs a Data-Driven Framework
Insights from the FIA Road and Driver Safety Indexes reveal how to manage road risk on a larger scale.
Read More →
Stellantis Recalls 1.3 Million Jeep Vehicles Worldwide Over Fire Risk
Stellantis is recalling more than 1.3 million Jeep Wrangler and Gladiator models worldwide over a fire risk linked to power steering pump wiring.
Read More →
Coaching Is Not Training, Even When AI Is Doing It
AI-powered safety platforms can detect risky behaviors and deliver immediate feedback. But effective driver development still requires a foundation of training followed by coaching that reinforces those skills.
Read More →
How Emotions Behind the Wheel Can Affect Fleet Safety
During National Safety Month, fleets are encouraged to look beyond distracted driving and recognize how stress, fatigue, and emotional well-being influence driver performance and crash risk.
Read More →
Nominations Open for 2026 Fleet Safety Award
Nominations have officially opened for the 2026 Fleet Safety Award Winner.
Read More →
Turning Connected Vehicle Data Into Decisions That Matter
Fleet leaders have more data than ever, but turning that data into clear, actionable decisions remains a challenge. This white paper shows how leading organizations are using connected vehicle data to improve safety, reduce costs, and optimize fleet performance. Learn how to turn insight into action across your fleet.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-time Prevention
Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Learn more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab.
Read More →
NAFA Fleet Safety Symposium to Collocate With 2026 Fleet Forward Conference
The daylong certificate program will precede the Fleet Forward Conference at the Gaylord National Harbor in Maryland.
Read More →
The Distractions You Can’t Turn Off: What Drivers Face Outside the Vehicle
Fleet drivers face constant visual, cognitive, and environmental interruptions the moment they hit the road. From roadside chaos to mental fatigue and digital overload, today’s biggest driving risks often come from outside the vehicle itself.
Read More →
FLASH Weather AI Launches First Deep-Learning Hail Prediction Model With High-Resolution Forecasting
FLASH Weather AI has launched a first-of-its-kind hail prediction model capable of forecasting hail size and arrival time at 1-kilometer resolution up to 55 minutes ahead, giving fleets and insurers critical time to prepare for severe storms.
Read More →
