Multi-city India accident dataset contains records with risk scoring features for the period 2022 to 2025. It is intended for classification and public safety analytics.
Use Cases
- Train a classification model on risk scoring features to predict accident severity.
- Analyze multi-city accident patterns using geographic and temporal features.
- Build a public safety dashboard to visualize accident hotspots and risk factors.
Strengths
- Covers multiple cities in India, providing a regional perspective.
- Includes risk scoring features for analytical depth.
- Data spans from 2022 to 2025, offering recent temporal coverage.
Limitations
- Unknown sample size and number of features limit assessment of statistical power.
- Geographic coverage is described only as 'multi-city', lacking specific location details.
- Data collection methodology and potential biases are not documented.
Provenance
- Time Range
- 2022–2025
- Geography
- Multi-city, India