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City Bike Trip and Demographic Records
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About
Unlock insights into urban cycling patterns with this detailed record of rider behaviour and trip metrics. This file captures the "where," "when," and "how" of city biking, offering a granular look at ride durations, temporal trends, and station preferences. It enables the exploration of key questions regarding commuter flows, leisure riding, and station usage intensity. Beyond trip logistics, the file includes demographic details such as age, gender, and user type (subscriber vs. customer), allowing for robust sociological and mobility analysis. It is an extensive resource for anyone looking to visualise traffic data, model transportation networks, or understand the demographics of active transport users.
Columns
- tripduration: Duration of a trip from start to finish.
- starttime: Time when the trip started.
- stoptime: Time when the trip stopped.
- start.station.id: The id of the station where the ride was started.
- start.station.name: The name of the station where the ride was started.
- start.station.latitude: Latitude of the start station.
- start.station.longitude: Longitude of the start station.
- end.station.id: The id of the station where the ride was ended.
- end.station.name: The name of the station where the ride was ended.
- end.station.latitude: Latitude of the end station.
- end.station.longitude: Longitude of the end station.
- bikeid: Id given to bike.
- usertype: Type of user using the bike (Subscriber or Customer).
- birth.year: Birth year of the rider.
- gender: Gender of the rider (M, F, Other).
- age: Age of the rider.
- log_trip: log trip.
- year: The year in which the data was taken.
- sequence/table id: Unique identifier for the record.
Distribution
The data is provided in a Tabular CSV format (
bike_data.csv) with a file size of 23.13 MB. It contains exactly 103,000 valid records (rows) and 19 columns. There are no reported missing or mismatched values, ensuring a clean dataset ready for immediate processing.Usage
This resource is designed for developers, engineers, statisticians, artists, and academics. Key use cases include:
- Urban Planning: Analysing traffic flow and station demand to optimise infrastructure.
- Demographic Research: Studying the age and gender profiles of cyclists to understand active user groups.
- Data Visualisation: Creating maps and charts to represent movement patterns and temporal trends.
- App Development: Building tools that predict bike availability or route popularity.
Coverage
- Geographic: The data focuses on the region around latitude 40.7 and longitude -74.0 (Jersey City/New York City area), with prominent stations including Grove St PATH and Hamilton Park.
- Time Range: Records cover trips initiated between 1 September 2019 and 13 October 2020.
- Demographics: Includes riders with birth years ranging from 1930 to 2004 (ages 16 to 90). The user base is approximately 63% Male, 25% Female, and 12% Other, with 75% being Subscribers and 25% Customers.
License
CC0: Public Domain
Who Can Use It
- Data Scientists conducting mobility studies.
- City Planners assessing transportation needs.
- Students and Academics performing statistical analysis on rider demographics.
- Artists visualising urban movement.
Dataset Name Suggestions
- City Bike Trip and Demographic Records
- Urban Cycling Mobility Statistics 2019-2020
- Bike Share Usage and Rider Profiles
- Metropolitan Cycle Trip Data
Attributes
Original Data Source: City Bike Trip and Demographic Records
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