Urban Road Accident Coordinates Labeled by Urban Center

UrbanGB contains coordinates for urban road accidents, with each accident location labeled by its corresponding urban center. The dataset originates from the UCI Machine Learning Repository and is tagged for traffic accidents and urban planning. Specific details on the number of records, time period, and original author are not provided.

Use Cases

• Cluster accident points by their labeled urban_center to compare safety metrics across different cities.
• Perform spatial analysis on accident coordinates to identify high-density zones within specific urban centers.
• Train a model to predict the likelihood of an accident at a given coordinate based on its associated urban_center label.
• Analyze the distribution of accident coordinates relative to central points of labeled urban areas.

Strengths

• Data includes geospatial coordinates, enabling precise location-based analysis.
• Accident records are categorized by urban center, providing a key grouping variable.

Limitations

• The total number of accident records is unknown, making it difficult to assess statistical power.
• No column details are available, limiting understanding of available features beyond coordinates and urban center labels.
• The temporal coverage and data collection method are unspecified, affecting analysis of trends over time.

Provenance

Source

UCI Machine Learning Repository

Geography

Urban areas, specific region unknown