AI, Mobility, and the Future of Urban Planning

What if the way we design cities is based on assumptions that don’t reflect how people actually move? In this episode of AI Chronicles, Kathleen Salazar discusses her research on gender, mobility, and transportation systems in Latin America, and how AI is helping researchers better understand human behavior in cities. From analyzing mobility patterns with real-world data to using agent-based modeling to represent diverse populations, Kathleen explains how AI can help create more inclusive and effective urban systems. This conversation covers: • Gender bias in transportation planning • Mobility patterns across different populations • How AI is transforming urban research • Agent-based modeling and city planning • Sustainability and the future of smart cities 🎙️ Full episode available now on AI Chronicles.