EconPapers    
Economics at your fingertips  
 

AI-generated visuals of car-free US cities help improve support for sustainable policies

Rachit Dubey (), Mathew D. Hardy, Thomas L. Griffiths and Rahul Bhui
Additional contact information
Rachit Dubey: MIT
Mathew D. Hardy: Princeton University
Thomas L. Griffiths: Princeton University
Rahul Bhui: MIT

Nature Sustainability, 2024, vol. 7, issue 4, 399-403

Abstract: Abstract Americans are often reluctant to support policies that aim to meaningfully change transportation. Here we show how new techniques from artificial intelligence can be harnessed to increase public support for green policies. We use text-to-image generative AI models to create re-imagined, car-free versions of various streets in America and find that across two large-scale survey studies (N = 3,129), viewing these re-imaginations significantly increases support for a hypothetical sustainable transport bill.

Date: 2024
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.nature.com/articles/s41893-024-01299-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natsus:v:7:y:2024:i:4:d:10.1038_s41893-024-01299-6

Ordering information: This journal article can be ordered from
https://www.nature.com/natsustain/

DOI: 10.1038/s41893-024-01299-6

Access Statistics for this article

Nature Sustainability is currently edited by Monica Contestabile

More articles in Nature Sustainability from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natsus:v:7:y:2024:i:4:d:10.1038_s41893-024-01299-6