District of Columbia Moving Violation Summaries for 2013

Over 50 violation type combinations are aggregated by week and time of day for spatial analysis. The District of Columbia's Metropolitan Police Department and partner agencies provided this Vision Zero data, summarized into 26 distinct street segments representing each week of a half-year period. Records without a street centerline association or time of day were excluded.

Use Cases

• Create weekly street segment heat maps of violation types to identify spatial patterns of traffic offenses.
• Analyze temporal patterns by querying aggregated data for specific weeks to examine violation frequency across time of day ranges.
• Compare the prevalence of over 50 different violation type combinations across the 26 weekly street segments.

Strengths

• Covers over 50 different combinations of moving violation types.
• Data is aggregated into 26 distinct weekly street segments for temporal-spatial analysis.
• Originates from authoritative District of Columbia agencies including MPD, DDOT, and DMV.

Limitations

• Data is a summary and aggregation, not raw incident records, limiting granular analysis.
• Records lacking a street centerline association or time of day were excluded, potentially introducing selection bias.
• Temporal coverage is limited to a single year (2013), making trend analysis impossible.

Provenance

Source

District of Columbia Metropolitan Police Department (MPD), District Department of Transportation (DDOT), and District Department of Motor Vehicles (DMV).

Collection Method

Violation locations identified from a DMV database and summarized by ticket counts based on time of day, week of year, and violation category.

Time Range

2013

Freshness

Dataset metadata was updated in 2026, but the underlying data covers 2013.

Geography

District of Columbia, United States.