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Semester project for CUSP GX 6006 - Applied Data Science at NYU. Developing a trip generation model to predict how the proposed Interborough Express train line in NYC will affect NYC Subway ridership.

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Network Analysis and Ridership Modeling of the Proposed Interborough Express in NYC

Semester project for CUSP GX 6006 - Applied Data Science at NYU. Developing a trip generation model to predict how the proposed Interborough Express train line in NYC will affect NYC Subway ridership.

Team: Alec Bardey, Gabriel Pincus, Rohan Kalyani, Turbold Baatarchuluu, Tarush Bahl

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Semester project for CUSP GX 6006 - Applied Data Science at NYU. Developing a trip generation model to predict how the proposed Interborough Express train line in NYC will affect NYC Subway ridership.

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