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100+ datasets found
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    • kaggle.com
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  6. R

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  10. G

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  11. M

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  13. Thailand Ride Hailing Market Share & Size 2031 Outlook

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  14. D

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  15. m

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  16. R

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  17. t

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  18. T

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  19. R

    Ride-Hailing Service Report

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    doc, pdf, ppt
    Updated Apr 13, 2026
  20. T

    Taxi and Ride-hailing Services Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated May 3, 2026
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Adnan Anam (2024). Ride-Sharing Platform Data [Dataset]. https://www.kaggle.com/datasets/adnananam/ride-sharing-platform-data
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Ride-Sharing Platform Data

Simulated data for users, drivers, vehicles, rides, and ratings in ride-sharing.

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
zip(3278937 bytes)Available download formats
Dataset updated
Oct 4, 2024
Authors
Adnan Anam
License

Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically

Description

Ride-Sharing Platform Synthetic Data: Users, Drivers, Vehicles, Rides, and Ratings

Description

This dataset contains synthetic data representing a ride-sharing platform. It includes simulated information about:

  • Users: Details about the customers using the ride-sharing service.
  • Drivers: Information about drivers providing the rides.
  • Vehicles: Data on the vehicles used for the rides.
  • Rides: Records of each ride taken, including start/end locations, distance, and fare.
  • Ratings: User ratings and feedback for each ride.

The data is generated to simulate a realistic ecosystem for a ride-hailing service, useful for analysis, modeling, and testing.

Dataset Contents

The dataset is divided into the following five CSV files:

  1. users.csv: Contains information about users, including user ID, name, email, phone number, registration date, age, gender, and location.
  2. drivers.csv: Includes details about drivers such as driver ID, name, vehicle ID, rating, total rides, and availability.
  3. vehicles.csv: Lists vehicle details like vehicle ID, make, model, year, and capacity.
  4. rides.csv: Contains ride information including ride ID, user ID, start location, end location, start/end time, distance (km), fare amount, and driver ID.
  5. ratings.csv: Includes ride ratings and user comments, with each rating linked to a ride and a user.

Data Generation

The data was generated using Python's Faker library and randomized to create a realistic dataset with:

  • 100,000 users
  • 3,000 drivers
  • 3,000 vehicles
  • 5,000,000 rides

This dataset is ideal for conducting various types of analysis, such as:

  • User behavior analysis
  • Driver performance analysis
  • Ride demand modeling
  • Fare prediction
  • Sentiment analysis on ride ratings

Usage

This dataset can be used for machine learning, statistical analysis, or as a test dataset for building applications related to ride-sharing platforms.

License

The dataset is synthetic and free to use for educational and research purposes.

Note: This dataset does not reflect real-world data and is generated for simulation purposes.

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