This episode of the Infrastructure Technology Podcast explores how GIS technology, data analytics and emerging artificial intelligence tools are transforming public transit planning and accessibility.

Featuring an interview with University of New Orleans graduate Jackie Strohmeyer, the episode highlights how data-driven methods are being used to improve mobility equity, optimize transit routes and support smarter infrastructure decisions. The discussion emphasizes the growing role of GIS in mapping transit access, analyzing community needs and guiding transit-oriented development. 

The episode also tackles the evolving role of AI in transit systems, noting its benefits in data analysis and operational efficiency while underscoring the continued need for human oversight—especially when addressing complex equity challenges like Title VI compliance. 

Jackie Strohmeyer - University of New Orleans Graduate

Jackie Strohmeyer holds a BA in Sociology and is an MPA candidate with a concentration in GIS at the University of New Orleans (UNO). During her time at the university, she worked as a graduate assistant and data analyst supporting planning and scheduling at the New Orleans Regional Transit Authority through the UNO Transportation Institute. Her work focuses on Geographic Information Systems-based accessibility analysis, spatial equity and the application of data-driven methods to transportation planning and policy evaluation. 

Episode Length: 36:20

Timestamps

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