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New York City Bike Share System Data
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About
Detailed trip information for the New York City Citi Bike ride-share system is provided for the entirety of the 2023 calendar year. This resource offers essential raw data for in-depth Exploratory Data Analysis (EDA) and visualization of bike-sharing utilization patterns. It captures critical metrics such as trip duration, location coordinates, user type, and bike classification, allowing researchers and data enthusiasts to uncover temporal trends and spatial dynamics within the urban mobility network. The dataset encourages work in predictive modelling and data-driven optimization of bike-sharing systems.
Columns
- ride_id: A unique identifier assigned to distinguish each individual trip taken.
- rideable_type: Specifies the type of bicycle used for the journey (e.g., classic bikes or electric bikes).
- started_at: The exact date and time when the ride commenced, useful for temporal pattern analysis.
- ended_at: The exact date and time when the ride concluded, necessary for calculating ride duration.
- start_station_name: The location name of the station where the ride began.
- start_station_id: A unique identifier for the starting station.
- end_station_name: The location name of the station where the ride ended.
- end_station_id: A unique identifier for the ending station.
- start_lat: The latitude coordinate of the starting station, used for geographical analysis.
- start_lng: The longitude coordinate of the starting station, used alongside the latitude.
- end_lat: The latitude coordinate of the ending station, used for mapping trip destinations.
- end_lng: The longitude coordinate of the ending station.
- member_casual: Indicates whether the user was a registered member (subscriber) or a casual user (non-subscriber).
Distribution
The data file is typically supplied in CSV format. The sample file size is 197.38 MB. The dataset features 14 distinct columns and includes 1 million valid unique ride identifiers, detailing trips across the year. The dataset will not be updated further.
Usage
This data product is suited for performing Exploratory Data Analysis, visualizing usage trends over time, and geographical mapping of popular starting and ending locations. It can be used to analyze differences in behavior between members and casual riders. Furthermore, it supports predictive modelling efforts focused on optimizing bike-sharing operational efficiency and managing fleet distribution.
Coverage
The geographic area covered is the New York City Citi Bike ride share system. The data captures activity for the entire year 2023, with trip start dates ranging from 1 January 2023 to 1 January 2024. Usage data shows that 81% of riders were registered members, while 19% were casual users. The dataset tracks classic bikes (90% prevalence) and electric bikes (10% prevalence).
License
CC0: Public Domain
Who Can Use It
- Data analysts looking to understand urban transportation flows.
- Urban planners interested in the practical application and impact of ride share systems on city mobility.
- Researchers studying data-driven optimization and logistics challenges.
- Data scientists building models to predict demand or suggest system improvements.
Dataset Name Suggestions
- NYC Citi Bike Rides 2023
- New York City Bike Share System Data
- 2023 NYC Bike Trip Analysis
- Citi Bike Usage Patterns
Attributes
Original Data Source:New York City Bike Share System Data
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