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The purpose of this project is to analyze trends on bicycle movements in London and to propose an optimization model to solve the Bike Reposition Problem.

Data Analysis

We start the project off by performing Data Analysis using publicly available locational and trip data from bike sharing apps.

We first perform data wrangling to clean the data and get it into a format appropriate for analysis.

Next we introduce a method for estimating demand and supply of different Bike Stations at different time intervals.

We use this processed data to visualize the demand and supply on a map of London . We use this map to gain some insight on the movement of bikes in London. We note that the supply of bikes tends to accumulate in the center of London.

Next we create a polygon that captures the supply in the center of London. We use this to create graphs to analyze the flow of bikes in central London over 24 Hours.