How Consumers View Energy Efficiency
by Jackie Swift
Cutting back on energy use in the face of climate change means we need to make some important choices in the marketplace: Do we buy a gasoline-powered car or an electric one? Do we replace our old furnace with a gas furnace or an electric heat pump? Do we opt to get our energy from solar panels or coal-fired power plants?
“Environmentally friendly products like electric cars and solar panels have benefits not only for the user, who saves money because the products are energy efficient, but also for society because they produce less emissions,” says Ricardo A. Daziano, Civil and Environmental Engineering. Daziano is a choice modeler, an economist by training who focuses on energy efficiency—mathematically modeling the economic variables that underlie individual choice in an effort to understand how people make decisions regarding the purchase of energy-efficient technology.
Trade-off: Purchase Price versus Savings
In experiments, Daziano and his colleagues create scenarios in which they manipulate the features and price of a technology—say, an electric car. They tweak the price and adjust the operating costs higher or lower as participants choose between various options. “We are trying to see how much lower the purchase price needs to be and how much higher the benefits, or operating cost savings, so that we have a broader adoption of the technology,” he says.
Like most new, energy-efficient technology, electric cars are very expensive because economy-of-scale hasn’t been realized, and investments in research and development still have to be paid for. “The consumer has a trade-off to make between a higher purchase price now versus savings in the future because an electric car will be cheaper to operate and produces less emissions,” Daziano says.
In economics, that type of comparison is quantified through a concept called discounting, which values future costs and benefits at current dollar values. The higher the discount rate, the more impatient consumers are and the less they are willing to wait for a future reward. Daziano’s choice experiments coupled with data from consumer behavior show that subjective discount rates for electric cars vary from about 15 percent to almost 40 percent. “That’s much higher than interest rates for car loans, which are around five to seven percent,” Daziano says. “This high discount rate means people are more impatient with future savings than the market is. They don’t see benefits in the future. They care a lot about the purchase price of technology, and that is working against broad adoption of electric cars.”
Consumer Attitudes Toward Electric Cars
Currently, Daziano is collaborating with colleagues in Canada to gauge Canadian consumers’ attitudes toward electric cars. Using preliminary data, the researchers were surprised to find a significant difference in the discount rate between Anglophones (33 percent) and Francophones (16 percent). “Anglophones seem to be much more impatient,” Daziano says. “They care a lot more about the purchase price of the car and less about savings in the future compared to Francophones.”
Why the French-speaking Canadians care more about future savings than do English speakers is an intriguing question that Daziano intends to pursue with further data. “It doesn’t make sense that language would give a person a different valuation of future versus the present, but maybe language is a proxy for something else,” he says. “Can we link this lower discount rate of Francophones to greater concerns about the environment, for instance? Maybe, culturally, they are more concerned with protecting the environment, and that’s the reason they’re more patient and more willing to buy an electric car.”
In another study, Daziano looked at the most effective ways to communicate the future benefits of electric cars to consumers. Sometimes energy savings is expressed in pounds of carbon dioxide, which is hard for consumers to grasp. Sometimes it is equated to a certain number of trees saved, which is also problematic. “It’s still abstract because it’s not the tree in your backyard,” Daziano says. “But we can provide an economic equivalent—a dollar amount—by supposing an emission tax on the amount of emissions you’re producing.”
“COVID-19 could even threaten the survival of public transportation. People might choose to walk or take a car instead, but if they don’t take public transportation…it will deteriorate even further.”
While liberal, or green, consumers generally tend to prefer electric cars much more than conservatives do, when researchers presented study participants with future benefits expressed as taxes saved instead of emissions reduced, they found conservatives changed their opinion. “Conservatives hate taxes even more than the average consumer,” Daziano says. “So when they saw that they could save taxes by buying energy-efficient technology, they became more willing to buy an electric car than a liberal or green consumer.”
Public Transportation: Comfort = Travel Time = Money
Daziano applies his mathematical modeling tools to a variety of situations involving energy efficiency, including the utilization of public transportation. In particular, he’s looked at the phenomenon of subway riders taking a longer route to get to their destination to avoid uncomfortable crowding during peak ride times. This behavior is not reflected in the transportation engineering model for rider route choice, which is based on travel time without consideration for comfort, he explains.
“Using economic models, we can translate this intangible comfort variable into something more quantifiable, which is travel time,” he says. “I’ve found that a rider in a full subway car, for example, perceives travel time to be three times longer—a 20-minute ride feels like 60 minutes. So it makes sense that riders might choose to take a 50-minute route that’s less crowded rather than a crowded 20-minute route because subjectively, the longer route feels shorter. And people are willing to pay to save travel time. I can quantify that with my tools. In this crowding example, we go from comfort to travel time and then from travel time to money, and that money can be used to quantify the benefit to society of improving transit.”
COVID-19 and the Threat of Crowding
A new application for Daziano’s research has arisen during the COVID-19 pandemic, and he is seeking funding for further study. His work on the effects of crowding on New York subway riders makes him speculate that subways, which are already deteriorating, are facing a new threat to their survival: riders’ need for social distancing and fear of infection. “The crowding multiplier—how much longer you’re willing to travel in exchange for more comfort—will probably go through the ceiling,” he says. “COVID-19 could even threaten the survival of public transportation. People might choose to walk or take a car instead, but if they don’t take public transportation then it won’t get funding and won’t be improved, so it will deteriorate even further.”
Daziano sees his role as bridging the gap between engineers, who design energy-efficient technology, and consumers, who often fail to adopt the technology. “Engineers make assumptions that people are fully rational,” he says. “An engineer will say, ‘This technology is more efficient, it’s cheaper to use in the future, so of course people will want it.’ That’s where social scientists can inform engineers about complex human behavior. But engineers and social scientists have different backgrounds and speak different languages in some ways. We need to translate things so we understand each other, and that’s what I do. I’m a catalyzer in that respect.”
Cornell Research: “How Consumers View Energy Efficiency”
EDF/ TTI/Cornell Virtual Workshop “Designing Healthier, More Sustainable Cities after COVID-19” – Wednesday, July 29th at 12 PM ET

As the coronavirus pandemic disrupts our lives and threatens the health of people across the world, we are also seeing shifts in transportation patterns across the globe, resulting in an undesired but unavoidable natural experiment on a massive scale.
Following up on the workshop “Leveraging High-Resolution Transportation Data for Healthier Cities” held in November 2019, Environmental Defense Fund (EDF), Texas Transportation Institute (TTI) and Cornell University are collaborating again to organize a virtual workshop. The workshop will explore how researchers and policymakers can collaborate to better understand the dramatic shifts in transportation systems, air quality and health impacts that are occurring due to COVID-19, and how policymakers can use those insights to shape healthier, more sustainable and more equitable cities as we work to recover and rebuild from this crisis moving forward.
This virtual meeting will reunite participants from the November workshop and other key stakeholders to share projects, analyses, data and ideas related to how we might learn from the large-scale changes happening around us, and how cities, MPO’s, state agencies and others might be able to use these insights to shape long-term planning.
Agenda: 12 PM ET: Introduction
Impacts of COVID-19 on human behavior, transportation systems and air quality:
- Fang Yan and Jeremy Avise, California Air Resources Board – “COVID-19 Impact: VMT, Emissions, and Air Quality in California”
- Xiaodan Xu, Texas Transportation Institute – “Moving towards a more sustainable ‘new normal’ — a case study of El Paso, Texas”
- Sarah Johnson, New York City Department of Health – “NYC on PAUSE: observations of COVID’s impact”
12:40 PM ET: Opportunities to shape healthier cities post-COVID
- Susan Alvarez, City of Dallas – “Rebuilding Dallas in a Healthier, Greener Way”
- Georg Bieker, International Council on Clean Transportation – “The View from Europe: COVID-19 Recovery & New Opportunities for Zero-emissions Vehicles”
1 PM ET: Facilitated Discussion with Panelists & Workshop Participants
1:30 PM ET: End
Please contact Maia Draper (mdraper@edf.org) for more information.
Steep NYC traffic toll would reduce gridlock, pollution
New York City is among the most congested traffic spots in the world.
Soon, in an effort to ease some of the Big Apple’s legendary gridlock – and make the air more breathable – driving a car into midtown Manhattan will cost you.
New research by Cornell and the City College of New York (CCNY), which is part of the City University of New York system, shows that by enforcing a $20 toll for cars and taxis to enter the central business district of Manhattan, traffic congestion could be reduced by up to 40%, public transit ridership could grow by 6% and greenhouse gas emissions could be reduced by 15%.
“If we charge a high dollar amount of tolls, we can decrease the number of cars and taxis, shrink gridlock, bring down carbon dioxide emissions and reduce particulate matter,” said Oliver Gao, professor of engineering and director of Cornell’s Center for Transportation, Environment and Community Health. “This is good news for the environment and from a public health perspective.”
The research, “Evaluating the Traffic and Emissions Impacts of New York City Cordon Pricing,” was published May 1 in the journal Sustainability. In addition to Gao, authors are Cornell postdoctoral researcher Mohammad Tayarani, CCNY postdoc Amirhossein Baghestani and Mahdieh Allahviranloo, CCNY assistant professor of engineering.
Traffic woes have plagued Manhattan for decades. In the same 2019 New York state budget bill that spelled the end of plastic retail bags, Gov. Andrew Cuomo urged the Legislature to pass congestion traffic pricing to cull vehicles from the central business district of Manhattan, and to help fund more than $1 billion in public transit and subway infrastructure repairs.
Tolls were slated to begin Jan. 1, 2021, but delays due to the COVID-19 pandemic and delays in federal approval means collections will likely be pushed back, according to the governor and Metropolitan Transportation Authority.
About 1 million tons of greenhouse gas emissions – mostly carbon dioxide – come from automobile and truck traffic in lower Manhattan annually. In modeling different scenarios using air quality processing software, the researchers determined exhaust emission reductions based on the tolls charged to enter the central business district of Manhattan.
A toll of $5, they found, would result in a reduction of 72,648 tons of greenhouse gas emissions annually. For a $10 toll, the reduction would be 119,097 tons, and a $15 toll would yield a 157,747-ton drop.
A $20 toll would eliminate 40% of midtown traffic and reduce greenhouse gas emissions by 182,065 tons per year.
Entrance tolls will also drop the volume of particulate – soot and other tiny particles measuring less than 2.5 micrometers that are linked to poor health and give Manhattan a hanging haze, according to the paper.
“If we want to make cities livable for the next generation, installing these tolls are a practical solution, because these plans are not imaginary. They are facts of what will happen,” Tayarani said. “All of us know that policymakers don’t like to charge people for driving into the city. Policymakers try to avoid it. But if we want to avoid climate change impact, these are the kind of policies that need to be considered and implemented.”
Funding for this research was provided by the U.S. Department of Transportation’s University Transportation Centers Program.
Cornell Chronicle: “Steep NYC traffic toll would reduce gridlock, pollution”
Smart parking software could ease congestion, save time
New smart parking software developed by Cornell researchers, which matches drivers with parking garage spots based on travel time and other factors, could reduce congestion and emissions while saving drivers the time of circling to look for available spots.
The system, which accounts for cruising time, proposes an efficient price for customers and considers the walking distance from the parking spot, decreased the amount of time spent looking for parking an estimated 64%per vehicle compared with other parking strategies, using San Francisco parking data.
“One of the key issues that causes congestion and extra emissions is due to cars cruising to look for parking,” said H. Oliver Gao, professor of civil and environmental engineering and director of systems engineering, and senior author of “A Scalable Non-Myopic Atomic Game for a Smart Parking Mechanism,” which published June 6 in the journal Transportation Research Part E.
“Imagine if the parking garage was equipped with a smart software – they know where their empty spots are,” said Gao, also a fellow with the Cornell Atkinson Center for Sustainability. “Drivers would come to an area and know which parking garage still has spots, and if you have software telling you the quickest path it will save you a lot of time, and it will also bring business to the parking garage.”
Previous research shows that searching for parking creates 30% of the congestion in crowded areas, where drivers spend an average of 7.8 minutes looking for a spot. For example, a 2006 study found that vehicles in a 15-block range in Los Angeles’ Westwood Village cruise more than 950,000 miles a year, wasting 47,000 gallons of gas and generating 730 tons of carbon dioxide.
Existing apps, based on a global navigation satellite system, update the information between parking manager and server using sensors on parking facilities and automobiles. These parking apps are inefficient because parking spaces can suddenly become unavailable, changing an uncongested route to highly congested.
The proposed parking app includes several functions such as walking distance, cruising time and parking facility occupancy. In addition to factoring in travel times, the new software includes a dynamic pricing policy that accounts for drivers’ waiting times and offers priority to drivers willing to pay more.
In the researchers’ model, participating drivers are essentially competing against each other to select parking spaces. The system incorporates an individual driver’s preferences in order to make the most efficient collective decisions.
The algorithm can be designed to minimize drivers’ out-of-pocket costs – the price of parking – or to reduce a total cost that considers both money and time.
Gao hopes the software could eventually be used as an app connecting parking garages and drivers, as well as showing drivers the optimal paths to their destinations.
Research on traffic congestion generally focuses on improving traffic flow, Gao said, but improving parking systems not only eases the burden on individual drivers, it also gets cars off the streets faster and reduces congestion for everyone.
“Smart parking can actually help mitigate congestion and reduce emissions,” he said. “When the car goes in the parking lot, it improves the on-road traffic.”
The paper was co-authored by Cornell postdoctoral researcher Hamid Sayarshad and Shahram Sattar of Ryerson University in Toronto, Canada. The research was supported in part by the National Science Foundation and the Lloyd’s Register Foundation.
Cornell Chronicle: “Smart parking software could ease congestion, save time”