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bike-sharing-system

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São Paulo's bike-sharing system analysis to identify usage patterns, infrastructure correlations, and factors influencing trip volume, aim to support the system's expansion. It uses data from bike stations and lanes, public transport, and Points of Interest, with Python tools, like geopandas and folium, for data processing and visualization.

  • Updated Nov 7, 2024
  • Jupyter Notebook

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