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DATA + BUILDING DESIGN + PRODUCT
Shantanu Anikhindi
PREDICTING TRANSPORT COUNTS
Type
Location
Machine learning project
NYC, UNITED STATES
Year
2022
The study will forecast the movement between various public modes of transport of individuals throughout their everyday commutes over the course of different weather seasons. The project involves collecting data on the weather patterns in New York City and the transportation choices of its residents. This data could then be used to develop a model that predicts how the weather may influence a person's transportation preference. The model could be used to help city planners and transportation providers better understand and plan for the transportation needs of New Yorkers based on the weather.
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