Combining Crash and Enforcement Location Data to Determine Selective Enforcement Strategies
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Transcript of Combining Crash and Enforcement Location Data to Determine Selective Enforcement Strategies
Combining Crash and EnforcementLocation Data to Determine Selective Enforcement Strategies
4th Annual GIS Symposium - TroyNovember 16, 2007
Outline
• Data sources• Starting point • Mapping crashes (points, lines, regions)• ECitation• Mapping citations (points, lines, regions)• Hot and cold zones• Process summary• Future plans• Bonus material
Data Sources
• Crashes– Paper crash reports (ECrash)
– Mapable by route & milepost– Three month lag on most crashes– Complete Alabama data for past 15 years
• Citations– ECitation– GPS – Two to three day lag on most citations– State trooper and some municipalities (Oldest data 2002)
• Officer Locations– Real-time for some troopers– Plan to recorded positions periodically
Starting Point
• The questions– When & where should officers patrol to
reduce fatalities and serious injuries?– How is “the answer” best presented? – How should recommendation effectiveness
be assessed?
• Conventional wisdom:– Position enforcement operations in high
crash locations (“hotspots”)
Crash Points4 years of mileposted crashes
CrashesPer
TrooperPost
• Five-mile segments
• Reflect overall activity within a particular segment
• A coarser-grained look at activity than simply displaying individual crashes
Segments Instead of Points
Crashes as Graduated Lines
Other Ways to Slice
• Look at subsets of crashes:– Fatalities– Injuries– Alcohol– Etc.
• Overlay other types of data:– Traffic volume– Roadway characteristics– Enforcement patterns
Electronic Citations in Alabama
• Initiated in June 2002• Approximately 420,000 transactions to date:
– 360,000 citations– 60,000 warnings– 1700 transactions per day
• Deployment– Most state troopers (around 450 officers) – 91 officers at 10 local agencies – 46 agencies in progress
• Real-time citation GPS locations
Citation PointsGPS
Citations Citations Per PostPer Post
Citationsas Graduated Lines
Hot & Cold Zone Designation
Computing Hot/Cold Zones
• Based on trooper post• Hot zone - 5-mile segments where:
– Crashes exceed the post average for crashes– Citations are below the post average for citations
• Cold zone - 5-mile segments where:– Citations exceed the post average for citations– Crashes are below the post average for crashes
• A possible officer deployment strategy:– Route officers to hot zones– Route officers away from cold zones, except where they overlap
hot zones
Above and Below Post-Average-CrashesPer 5 Mile Segment
Mobile Post
Above and Below Post-Average-CitationsPer 5 Mile Segment
Mobile Post
Hot & Cold ZonesHot Zones
Below Average CitationsAbove Average Crashes
Cold ZonesAbove Average CitationsBelow Average Crashes
Process Summary
Next Step
• Need to implement enforcement decisions based on this strategy
• Need to monitor the effectiveness of shifting resources:– Does reducing citations negatively impact a low-crash coldspot?– Does increasing citations positively impact a high-crash
hotspot?
• Based on the results of this evaluation, continue to shift resources
• Ultimately:– Make enforcement decisions based on data, not feel
Future Plans
• Data quality and timeliness:– Obtain 85-90% of citation data electronically (with GPS
coordinates)– Obtain real-time crash data with GPS coordinates using ECrash
• Incorporate officer location data– Analyze crashes and citations and officer patrol locations
• Identify routes, not just locations• Develop more sophisticated algorithm for identifying hot
& cold zones
Questions?
• Contact information– [email protected]