Analysis and prediction of bike sharing usage in New York City
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Starting Point
- CitiBike is a large bike sharing provider in New York City
- With over 7,000 bicycles and more than 328 stations in the urban area, around eight million trips were made in 2015
- The team had a wealth of CitiBike data sources to predict future use
Objectives
- Predict user numbers for specific stations to plan marketing measures
- Predict the demand for bikes at specific stations
- Identify areas with a lack of rental stations
- Examine how the proximity of bike stations to subway stations affects the user numbers
Course of Action
- Preparation and unification of existing data
- Execution of a time series analysis in Tableau
- Visualization and clustering of the rental locations
- Calculation of the distance between rental stations and metro stations based on geospatial data
Results and benefits
- Successful proof of concept: visualization of the data and prediction of the use of the CitiBike service
- First ideas for expanding the bicycle network based on actual usage data
- Possibility of forecasting user behaviors for specific bike stations