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Motivate Bike Share Analytics
Data Science and Analytics
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About
Explores cycling activity derived from the Citi Bike public bicycle sharing system. This system operates across several New York City boroughs, specifically the Bronx, Brooklyn, Manhattan, and Queens, and extends its service into Jersey City, New Jersey. It is a major urban mobility network operated by Motivate, which was acquired by Lyft, utilising BIXI-branded technology. The data details ride activity, providing insight into trip durations, spatial starting and ending points, and key user characteristics for analytical purposes. Historically, the system supported a large user base, reporting 169,000 annual subscribers as of July 2019, with ridership exceeding 56,000 rides daily in 2019.
Columns
- tripduration: The duration of the trip, measured in seconds.
- starttime: The exact date and time the bicycle journey began.
- stoptime: The exact date and time the bicycle journey concluded.
- start station id: The unique identification number assigned to the start station.
- start station name: The geographical name of the station where the ride commenced.
- start station latitude: The latitude coordinate of the starting station.
- start station longitude: The longitude coordinate of the starting station.
- end station id: The unique identification number assigned to the destination station.
- end station name: The geographical name of the station where the ride ended.
- end station latitude: The latitude coordinate of the ending station.
- end station longitude: The longitude coordinate of the ending station.
- Bike ID: The specific identification number for the bicycle used during the trip.
- usertype: Defines the user's membership status: 'Subscriber' denotes an Annual Member, while 'Customer' refers to a 24-hour pass or 3-day pass user.
- gender: A numeric code for the user's gender, where 0 is unknown, 1 is male, and 2 is female.
- birthyear: The user's year of birth, providing demographic context.
Distribution
The dataset captures detailed trip records, structured across 15 distinct columns. While the file format is typically CSV, the specific number of records is not available. The data structure is tailored to facilitate chronological and geospatial analysis of individual trips.
Usage
This dataset is ideal for analysing urban mobility patterns and demand fluctuations within a metropolitan area. It supports research into the temporal and spatial aspects of bike-share use. Potential applications include optimising station placement, predicting bicycle rebalancing needs, studying the impact of weather or events on transit, and segmenting user behaviour based on membership type (Subscriber vs. Customer).
Coverage
- Geographic: Focuses on the New York City boroughs of the Bronx, Brooklyn, Manhattan, and Queens, alongside Jersey City, New Jersey.
- Time Range: The ride details contained within the primary data subset cover the period from January 2021 through April 2021.
- Demographic Scope: Includes data on user types (annual versus short-term pass holders), recorded gender, and year of birth.
License
CC0: Public Domain
Who Can Use It
- Transportation Authorities: To assess infrastructure load and plan future system expansion.
- Data Scientists and Analysts: For developing predictive models concerning trip duration, demand forecasting, and inventory management.
- Urban Planners: To understand commuting patterns, connectivity between neighbourhoods, and the effectiveness of cycle lanes.
- Academic Researchers: For studying human behaviour related to sustainable urban transit and public health.
Dataset Name Suggestions
- NYC Citi Bike Sharing Trip Data (2021 Q1)
- Motivate Bike Share Analytics
- New York City Mobility Study Data
- Citi Bike Customer and Subscriber Trip Details
Attributes
Original Data Source: Motivate Bike Share Analytics
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