A new study by the University of Michigan in Ann Arbor says the extra miles people are likely to travel in autonomous vehicles could partially or completely offset the potential energy savings the technology promises.
Previous studies have shown that greater fuel efficiency induces some people to travel extra miles, and those added miles can partially offset fuel savings. It’s a behavioral change known as the rebound effect.
In the coming years, self-driving cars are expected to yield significant improvements in safety, traffic flow, and energy efficiency. In addition, automation will allow vehicle occupants to make productive use of travel time, which likely will induce even more travel.
Taken together, those two factors of potential added mileage could partially or completely offset the energy savings provided by autonomous vehicles, according to a team of researchers at the U-M School for Environment and Sustainability (SEAS) led by Dow Sustainability Doctoral Fellow Morteza Taiebat.
Conceivably, the added miles could even result in a net increase in energy consumption, a phenomenon known as backfire, according to the U-M researchers. The study was published on April 17 in the journal Applied Energy.
“The core message of the paper is that the induced travel of self-driving cars presents a stiff challenge to policy goals for reductions in energy use,” says co-author Samuel Stolper, assistant professor of environment and sustainability at SEAS.
“Thus, much higher energy efficiency targets are required for self-driving cars,” says co-author Ming Xu, associate professor of environment and sustainability at SEAS and associate professor of civil and environmental engineering at the college of engineering.
In the paper, Taiebat and his colleagues used economic theory and U.S. travel survey data to model travel behavior and to forecast the effects of vehicle automation on travel decisions and energy use.
Most previous studies of the energy impact of autonomous vehicles focused exclusively on the fuel-cost component of the price of travel, likely resulting in an overestimation of the environmental benefits of the technology, according to the U-M authors.
In contrast, the study by Taiebat and colleagues looked at both fuel cost and time cost. Their approach adapts standard microeconomic modeling and statistical techniques to account for the value of time.
Traditionally, time spent driving has been viewed as a cost to the driver. But the ability to pursue other activities in an autonomous vehicle is expected to lower this “perceived travel time cost” considerably, which will likely spur additional travel.
The U-M researchers estimated that the induced travel resulting from a 38 percent reduction in perceived travel time cost would completely eliminate the fuel savings associated with self-driving cars.
“Backfire — a net rise in energy consumption — is a distinct possibility if we don’t develop better efficiencies, policies, and applications,” Taiebat says.
The possibility of backfire, in turn, implies the possibility of net increases in local and global air pollution, the study authors concluded. While most autonomous vehicles are expected to be powered by electricity, the production of the batteries causes pollution due to sourcing rare minerals like lithium and cobalt. In addition, recharging the batteries comes from electricity generated by fossil fuels like coal and natural gas (62 percent in the U.S.).
In addition, the researchers suggest there’s an equity issue that needs to be addressed as autonomous vehicles become a reality. The study found that wealthier households are more likely than others to drive extra miles in autonomous vehicles “and thus stand to experience greater welfare gains.”
