\(\)Conclusions

Citi Bike is the largest bike sharing system in the U.S. The dataset contains information about all trips performed using Citi Bike and provides a very comprehensive data for studying NYC citizens’ behavior through patterns in its cycling activity.
After performing the reproducible Citi Bike data wrangling process and its' investigation with Chi-square test of proportions, the result shows that the ratio of subscribers, i.e. Annual Pass holders, biking on weekends over weekdays is less than the ratio of customers, i.e. 1-day/3-day pass users, biking on weekends over weekdays. Therefore we derive that customers are less likely than subscribers to choose biking for commuting - riding during the week.

Acknowledgements

We would like to thank Kent Pan who provided a useful review and Professor Federica Bianco for teaching the Principles of Urban Informatics course and developing useful codes in a reproducible manner.