District of Columbia data provides geocoded parking citation locations issued by the Metropolitan Police Department and partner agencies in July 2024. The dataset contains ticket counts summarized by time of day, week, year, and violation category, with data geocoded to street segment centroids for spatial analysis.
Use Cases
- Analyze spatial patterns of parking violations using geocoded street segment centroids.
- Model ticket frequency based on time of day and week of year variables.
- Identify high-enforcement areas by aggregating summarized ticket counts per violation category.
- Assess traffic control effectiveness by correlating violation categories with specific locations.
Strengths
- Data is geocoded to street segment centroids for spatial analysis.
- Contains summarized ticket counts across multiple temporal dimensions.
- Covers violations from multiple enforcement agencies including MPD and DDOT.
- Available in multiple geospatial formats including GEOJSON and CSV.
Limitations
- Unknown row count and specific column structure limits assessment of scale.
- Limited to a single month (July 2024), restricting longitudinal analysis.
- Data is aggregated as summarized counts, not individual ticket records.
Provenance
- Source
- District of Columbia government, extracted from the Department of Motor Vehicle's eTIMS system.
- Collection Method
- Geocoded by the Office of the Chief Technology Officer (OCTO) to street segment level from meter work order management system.
- Time Range
- July 2024
- Freshness
- null
- Geography
- District of Columbia, United States