In this project I investigate a bikesharing data set of capital bike share from Washington D.C. Capital Bikeshare is a state owned company that aims to maximize the use of its bikesharing products; profits are secondary.
- How to rent a bycicle?
- Register a user and install the app in order to rent a bicycle.
- Bikesharing with stations: where users have to hand back their bike
- Users may leave their bike outside of a station, but will be charged an additional fee.
- The company also offers memberships, where users can lend bycicles at a lower rate and enjoy other premium features.
With environmental issues and health becoming trending topics, the usage of bicycles as a mode of transportation has gained popularity in recent years. To encourage bike usage, cities across the world have successfully implemented bike-sharing programs. Under such schemes, riders can rent bicycles using manual/automated kiosks spread across the city for defined periods. In most cases, riders can pick up bikes from one location and return them to any other designated place.
Bike riders reduce traffic congestion as they form a valid substitution for cars on short/medium trips, contribute to the use of public transport by providing effective last-mile connectivity, and simply take up less space on the road. The characteristics of data being generated by these systems also make an attractive option for researchers who can try to understand traffic routes in a city.
The aim of this data analysis is to get valuable insights on the company's performance and proceedings on it#s goals. The company's regular survey reveals the user's priorities. The analysis aims to understand if the company addresses those needs effectively. Furthermore, a model to forecast the demand for bicycles shall be created.
- All rides from 2021 - 2023
- hourly weather data for the whole service area