|Talks|

Understanding Spatial Inequalities in Public Transportation Systems: Three Urban Perspectives

Visiting speaker
Hybrid
Past Talk
Nandini Iyer
Postdoctoral Research Assistant at Northeastern University London
May 8, 2024
4:00 pm
May 8, 2024
4:00 pm
In-person
4 Thomas More St
London E1W 1YW, UK
The Roux Institute
Room
100 Fore Street
Portland, ME 04101
Network Science Institute
2nd floor
Network Science Institute
11th floor
177 Huntington Ave
Boston, MA 02115
Network Science Institute
2nd floor
Room
58 St Katharine's Way
London E1W 1LP, UK

Talk recording

Inequalities in public transportation systems have been of significant consideration to transport researchers and urban planners for several decades. Understanding the complexities within transit systems is crucial for achieving mobility justice and providing mobility options to transit-dependent individuals. However, the majority of research on transit inequality analyses disparities using measures such as coverage or efficiency. Meanwhile, studies that consider transit inequality in the context of urban dynamics tend to use naive approximations to represent transportation systems. In this talk, we combine detailed transit modelling, amenity visitations data, and census surveys to explore how transit systems in the United States fit into the larger context of various mobility demands. Specifically, we highlight transit disparities in relation to residential-workplace dependencies, experienced segregation, and the built environment.

About the speaker
Nandini Iyer is a postdoctoral research assistant at the Complex Connections Lab in Northeastern University London. She holds a Bachelor’s degree in Computer Science from the University of Illinois at Urbana-Champaign. She joined the BioComplex Lab at the University of Exeter during her PhD. Her doctoral research lies in the intersection of socioeconomic inequality, human mobility, and public transportation systems, focusing on transport poverty in various urban contexts. She is particularly interested in understanding how different forms of data can be combined to identify mechanisms that catalyse socioeconomic disadvantage.
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May 08, 2024