|Talks|

Urban Mobility, City Structure, and Segregation

Visiting speaker
In-person
Past Talk
Arianna Salazar-Miranda
Yale University Assistant Professor of Urban Planning and Data Science
Thu, May 29, 2025
5:00 PM UTC
Thu, May 29, 2025
5:00 PM UTC
In-person
4 Thomas More St
London E1W 1YW, UK
The Roux Institute
Room
100 Fore Street
Portland, ME 04101
Network Science Institute
11th floor
177 Huntington Ave
Boston, MA 02115
Room
58 St Katharine's Way
London E1W 1LP, UK

Talk recording

This talk brings together three papers that use GPS mobility data to study how a city’s spatial configuration and size shape mobility and social outcomes. I begin by showing that Americans routinely travel far from home—only 14% of daily consumption trips occur within a short walk. The fact that most trips are long raises environmental concerns since expanding cities may face increasing congestion, pollution, and other transportation-related challenges. In order to explore the relationship between city size and mobility, I analyze travel times across cities of different sizes and document that the total amount of time individuals spend travelling per day remains fairly constant regardless of city size. This regularity raises a key question: How do cities adapt to accommodate growing populations while maintaining similar travel times? Our findings show that urban areas adjust through densification, the development of multiple centers, and investments in faster infrastructure. Finally, I examine how these adaptations affect segregation. While trips far from home generally increase opportunities for interaction, their ability to reduce segregation depends on a city’s spatial layout—less spatially clustered cities promote integration more effectively than highly clustered ones.

About the speaker
Arianna Salazar-Miranda is an Assistant Professor of Urban Planning and Data Science at the Yale School of the Environment. Her research focuses on the relationship between urban planning, the built environment, human behavior, and sustainability. To study this topic, she uses a wide range of computational methods and large-scale, high-resolution data such as street imagery, social media, GPS, LiDAR, and sensors.
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May 29, 2025