Spatio-Temporal Taxi Booking Demand Logs from Singapore

Spatio-temporal taxi booking demand logs from dense urban grids in Singapore. The dataset was created for the Grab AI Challenge in 2019. It likely contains time-stamped records of ride-hailing requests across different urban zones.

Use Cases

• Forecasting taxi demand based on spatio-temporal patterns mentioned in the description
• Analyzing urban grid mobility based on booking logs mentioned in the description
• Developing spatio-temporal machine learning models based on dense urban grid data mentioned in the description

Strengths

• Data originates from a real-world ride-hailing platform in Singapore.
• Focuses on dense urban grids, which are relevant for city-scale mobility studies.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Grab AI Challenge

Time Range

2019

Geography

Singapore