Urban AI Study Reveals How Street Waste Shapes Public Safety Perceptions
Artificial intelligence analysis of New York City streets reveals how different types of waste impact how safe people feel in urban environments. The research demonstrates that uncontrolled waste like litter and construction debris has a significantly stronger negative effect on safety perception than properly contained garbage.
AI Mapping Reveals Urban Waste-Safety Connection
Advanced computer vision technology has uncovered significant relationships between street waste and public safety perceptions in urban environments, according to recent research published in npj Urban Sustainability. The study, which analyzed thousands of street view images across New York City, provides evidence-based guidance for policymakers developing targeted urban management strategies.