Study: AI Can Help Build Support for Car-Free, Car-Lite Infrastructure

Researchers in a new study published in Nature showed people AI images of what United States cities would look like with fewer cars and more space for pedestrians, cyclists, and public transit — and people liked what they saw. In fact, they were more likely to support government spending to implement those sustainable transportation policies than people to whom the project and concepts were just described. Petapixel senior news editor Matt Growvcoot explored the study’s results in a recent article.

“The MIT Sloan School of Management presented 3,100 participants with a hypothetical $500 million bill that would replace half of all car lanes in the United States with bus lanes, bike lanes, and wider sidewalks. The subjects were shown a photograph taken from Google Street View showing a cityscape dominated by cars and then three AI alternatives showing how the bill could affect urban environments,” he writes. “The participants who saw the AI illustrations of the city designed for pedestrians rather than cars were more likely to say they would support the fictional bill. Other participants who were simply shown slides with words such as ‘greener’ and ‘bikeable’ or rudimentary cartoons of public transport and foliages were less likely to show support for the bill.”

In car-centric America, people have very strong opinions and reactions when planners and policymakers start talking about “taking away” cars, or space from cars. Could AI-generated images be the key to building public support and political will around sustainable transportation projects? This study certainly suggests so. Regardless, it seems like one ethical use of AI-generated images and a potentially valuable AI tool to add to planners’ toolkits.