Crowd Evacuation Data with Route Prediction Thresholds

Kaggle dataset for predicting evacuation routes using 33rd and 66th percentile thresholds. The data appears to model pedestrian movement and decision-making during evacuations. Specific details on volume, creator, and timeliness are unavailable.

Use Cases

• Predict evacuation route status based on percentile thresholds.
• Model crowd density thresholds that trigger specific evacuation paths.
• Analyze the relationship between time-to-evacuate and chosen route status.
• Train classifiers to determine if a route is open, congested, or closed using threshold features.

Strengths

• Focuses on a specific application of crowd evacuation modeling.
• Includes defined statistical thresholds (33rd and 66th percentiles) for analysis.

Limitations

• Unknown row count and feature set limits reproducibility.
• Geographic scope and data collection method are unspecified, limiting generalizability.
• Lack of sample data or column descriptions prevents detailed assessment of data structure.

Provenance

Source

Kaggle

Collection Method

Presumably simulated or observed data for evacuation route prediction.