EPA Releases Greenhouse Gas Document for Public Comment
WASHINGTON – EPA is soliciting public input on the effects of climate change and the potential ramifications of the Clean Air Act in relation to greenhouse gas emissions.
WASHINGTON – EPA has released an Advance Notice of Proposed Rulemaking (ANPR) soliciting public input on the effects of climate change and the potential ramifications of the Clean Air Act in relation to greenhouse gas emissions.
"The ANPR reflects the complexity and the magnitude of the question of whether and how greenhouse gases could be effectively controlled under the Clean Air Act," said EPA Administrator Stephen L. Johnson.
Today's action is in response to the April 2, 2007 Supreme Court decision in "Massachusetts v. EPA", which found that greenhouse gas emissions could be regulated if EPA determines they cause or contribute to air pollution that may reasonably be anticipated to endanger public health or welfare. With the ANPR, EPA is evaluating the broader ramifications of the decision throughout the Clean Air Act, which covers air pollution from both stationary and mobile sources.
The ANPR solicits public input as EPA considers the specific effects of climate change and potential regulation of greenhouse gas emissions. In the advance notice, EPA presents and requests comment on the best-available science, requests relevant data, and asks questions about the advantages and disadvantages of using the Clean Air Act to potentially regulate stationary and mobile sources of greenhouse gases. The ANPR also reviews various petitions, lawsuits and court deadlines before the agency, and the profound effect regulating under the Clean Air Act could have on the economy.
The notice's publication in the Federal Register begins a 120-day public comment period.
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 →
