NYC Green Taxi Trip Records for December 2016, Credit Card Payments Only

Trip record data for New York City green taxi line trips in December 2016, provided by the New York City Taxi and Limousine Commission. The dataset was transformed for a tabular regression benchmark, with 'tip_amount' as the target variable and a focus on categorical location features. It includes only trips paid by credit card to ensure tip data is present.

Use Cases

• Regression modeling to predict tip amounts based on trip details and location IDs.
• Analyzing the relationship between pickup/dropoff locations and tipping behavior in NYC.
• Benchmarking feature importance for categorical versus numerical variables in a real-world transportation context.
• Creating derived time-based features from the pickup and dropoff timestamps for temporal analysis.

Strengths

• Data originates from the official New York City Taxi and Limousine Commission, a primary source.
• Target variable 'tip_amount' is defined, and deterministic leakage from 'total_amount' is explicitly noted and handled.
• Dataset is curated for a specific regression benchmark, focusing on credit card payments to ensure target variable relevance.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred from the original TLC data dictionary after download.
• Data is limited to a single month (December 2016) and a specific payment type, which may affect generalizability.

Provenance

Source

New York City Taxi and Limousine Commission (TLC)

Collection Method

Original trip records were downloaded on 03.11.2018 and subsequently transformed for a benchmark.

Time Range

December 2016

Geography

New York City, USA