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.
Original language | English (US) |
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Pages (from-to) | 399-403 |
Number of pages | 5 |
Journal | Nature Sustainability |
Volume | 7 |
Issue number | 4 |
DOIs | |
State | Published - Apr 2024 |
All Science Journal Classification (ASJC) codes
- Global and Planetary Change
- Food Science
- Geography, Planning and Development
- Ecology
- Renewable Energy, Sustainability and the Environment
- Urban Studies
- Nature and Landscape Conservation
- Management, Monitoring, Policy and Law