Urban Micromobility Safety Incidents for E-Scooters and E-Bikes

A realistic dataset of safety incidents involving e-scooters and e-bikes across global smart cities. The dataset is synthetic and was sourced from Kaggle. The specific number of records, time range, and geographic details are not provided in the input.

Use Cases

• Identify common risk factors for micromobility incidents based on the described safety events.
• Simulate urban safety scenarios for policy planning based on the synthetic incident data.
• Train models to predict high-risk zones for e-scooter and e-bike use based on incident patterns.

Strengths

• Focuses on the emerging domain of urban micromobility safety.
• Described as a realistic dataset of safety incidents.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic or source bias inherent to its synthetic nature.

Provenance

Source

Kaggle

Collection Method

Synthetic generation; the description states it is a 'realistic' and 'synthetic' dataset.

Geography

Global smart cities