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U-M researchers challenge USPS EV environmental study

A new University of Michigan study finds that making the switch to all-electric mail-delivery vehicles would lead to far greater reductions in greenhouse gas emissions than previously estimated by the US Postal Service (USPS). (Earlier post.)

In its analysis of the potential environmental impacts of the Next Generation Delivery Vehicle program, the Postal Service underestimated the expected greenhouse gas emissions from gasoline-powered vehicles and overestimated the emissions tied to battery-electric vehicles, according to U-M researchers. The U-M team’s paper is published in Environmental Science & Technology.

Our paper highlights the fact that the USPS analysis is significantly flawed, which led them to dramatically underestimate the benefits of BEVs, which could have impacted their decision-making process.

—Maxwell Woody, lead author

The NGDV program calls for the purchase of up to 165,000 new mail delivery trucks over the next decade. The Postal Service said in February that at least 10% of the new mail trucks would be electric. But following sharp criticism from many quarters, the agency upped that number in July. (Earlier post.)

Though the Postal Service now says at least 40% of the new delivery vehicles will be electric, the flaws in the USPS environmental analysis remain and need to be addressed, said Woody, a research area specialist at the Center for Sustainable Systems, which is part of the U-M School for Environment and Sustainability.

The new study takes a second look at the two delivery-vehicle scenarios the Postal Service evaluated in its 340-page Final Environmental Impact Statement on the NGDV project.

That document compared the expected environmental impacts of a delivery fleet with 10% battery-electric vehicles and 90% gasoline-powered trucks (called the ICEV scenario for internal-combustion engine vehicles) to a fleet with 100% battery-electric vehicles (called the BEV scenario).

The U-M researchers conducted a cradle-to-grave life-cycle assessment of the two scenarios and reached some vastly different conclusions than the Postal Service did.


Woody et al.

The U-M team determined that:

  • Lifetime greenhouse gas emissions under the ICEV scenario would be 15% higher than estimated by the Postal Service, while emissions tied to the BEV scenario would be at least 8% lower than estimated by the agency.

  • When anticipated improvements to electric vehicles and future electrical-grid decarbonization are factored in, a fully electric USPS delivery fleet would result in up to 63% lower greenhouse gas emissions than the agency estimated, over the lifetime of the fleet.

  • An all-electric fleet would reduce lifetime greenhouse gas emissions by 14.7 to 21.4 million metric tons of carbon dioxide equivalents when compared to the ICEV scenario. The USPS estimate was 10.3 million metric tons.

The Postal Service has not commented on the U-M study.

In February, the agency announced it had completed the environmental review for its Next Generation Delivery Vehicle program and was moving ahead with plans to start purchasing the new trucks. At least 10% of the delivery vehicles would be zero-emissions electric models, while the remainder would be powered by gasoline.

In response, attorneys general from 16 states (including Michigan), the District of Columbia and several environmental groups sued the mail agency to block the original purchase plan or to force the Postal Service to buy more electric trucks. The agency later pledged to electrify at least 40% of its new delivery fleet.

The authors of the new study say the main reasons their findings differ substantially from the USPS results are:

  • The U-M study includes greenhouse gases generated throughout a delivery vehicle’s lifetime, including the mining and manufacturing of materials, vehicle assembly, vehicle operations and service (known as use-phase emissions) and end-of-life disposal. The Postal Service analysis looked only at use-phase emissions.

  • The new study includes projections of how electrical-grid emissions are likely to change over the estimated 20-year service life of next-generation delivery vehicles, as renewables increasingly replace fossil fuels. The USPS analysis did not address this factor, which is known as grid decarbonization.

  • The U-M study uses a more accurate method to calculate vehicle operating emissions, one that relies on fuel economy and fuel combustion intensity rates. The USPS analysis of projected operating emissions was based on estimated per-mile emissions rates.

While our emissions results and USPS emissions values are on the same order of magnitude, the details of the USPS FEIS seem to have significant miscalculations and vary greatly from the established literature on vehicle LCAs.

—Woody et al.

Study senior author Greg Keoleian, director of the U-M Center for Sustainable Systems, said the new findings suggest the Postal Service should be deploying electric delivery trucks at a rate much higher than 40%. The failure to do so exposes a lack of sustainability leadership by the agency, he said.

Ultimately, the USPS decision about next-generation delivery vehicles was based more on cost than climate-altering greenhouse gas emissions, Keoleian said. The agency estimated that an all-electric delivery fleet would have a total cost of ownership about $3.3 billion higher than a fleet with just 10% electric vehicles.

However, the recently signed US “Inflation Reduction Act” includes $3 billion to help the US Postal Service meet zero-emission vehicle goals: $1.29 billion for the purchase of zero-emission delivery vehicles and $1.71 billion for infrastructure to support those vehicles.

The work was supported by Ford Motor Co. through a Ford-University of Michigan Alliance Project Award, by the Responsible Battery Coalition and by the U-M School for Environment and Sustainability.


  • Maxwell Woody, Parth Vaishnav, Michael T. Craig, and Gregory A. Keoleian (2022) “Life Cycle Greenhouse Gas Emissions of the USPS Next-Generation Delivery Vehicle Fleet” Environmental Science & Technology doi: 10.1021/acs.est.2c02520



This is a wonderful application for BEVs with constant and predictable routes, and excuses should not be accepted.

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