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Divvy Micromobility Data - Chicago 2019
Data Science and Analytics
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About
Contains anonymised trip data from Chicago's Divvy bicycle sharing service for the year 2019. This information is made available to the public to support bicycling as an alternative transportation option. The data covers individual trip details, including duration, start and end times, station locations, and anonymised user information.
Columns
- trip_id: A unique identifier for each bike trip.
- start_time: The date and time when the bike trip started.
- end_time: The date and time when the bike trip ended.
- bikeid: The unique identifier for the specific bicycle used for the trip.
- tripduration: The total duration of the trip, measured in seconds.
- from_station_id: The unique identifier for the station where the trip began.
- from_station_name: The name of the station where the trip began.
- to_station_id: The unique identifier for the station where the trip concluded.
- to_station_name: The name of the station where the trip concluded.
- usertype: The category of the user, such as 'Subscriber' or 'Customer'.
- gender: The gender of the user. This column contains some missing values.
- birthyear: The birth year of the user. This column contains some missing values.
Distribution
The data is provided in a CSV file format (
Divvy_Trips_2019_Q1.csv) with a size of 50.53 MB. The exact number of rows or records for the full 2019 dataset is not specified in the provided sample information.Usage
- Urban Planning: Analyse cycling patterns to inform infrastructure development and city planning.
- Transportation Analysis: Study commuter behaviour, peak travel times, and popular routes.
- Business Intelligence: Identify opportunities for services or retail near high-traffic bike stations.
- Academic Research: Investigate micromobility trends and their impact on urban environments.
- Data Visualisation: Create maps and dashboards illustrating bike share usage across Chicago.
Coverage
- Geographic: The data covers the City of Chicago, specifically the locations of Divvy bike share stations.
- Time Range: The dataset contains records from 2019, with samples showing data from January through to June 2019.
- Demographic: Includes anonymised user data on gender and birth year, although this information is not complete for all trips.
License
CC0: Public Domain
Who Can Use It
- Urban Planners and City Officials: For transportation network analysis and infrastructure improvement.
- Data Scientists and Analysts: For predictive modelling of bike demand and usage patterns.
- Researchers and Academics: For studies on sustainable urban transport and public health.
- Software Developers: To build applications or services related to Chicago's transport network.
Dataset Name Suggestions
- Chicago Divvy Bike Trips 2019
- Divvy Bike Share Usage Data Chicago 2019
- 2019 Chicago Bicycle Share Trip History
- Divvy Micromobility Data - Chicago 2019
Attributes
Original Data Source: Divvy Micromobility Data - Chicago 2019
QUALITY