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Arlington Police Department Crime Management

Arlington Police Department Crime Management. Ron Andrews Blake Robinson. Advisors: Bill Edmonds, Jim Mallard & Chief Bowman. Perplexing the mind?. Where would crime incidences only occur during the day (up till 10:00pm) ? and

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Arlington Police Department Crime Management

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  1. Arlington Police DepartmentCrime Management Ron Andrews Blake Robinson Advisors: Bill Edmonds, Jim Mallard & Chief Bowman

  2. Perplexing the mind? • Where would crime incidences only occur during the day (up till 10:00pm) ? and • At a rate of four times the surrounding areas? and • Mostly affect motor vehicles? • Hint: Data Analysis Intuition & cell 206

  3. Agenda • Executive Summary • Nature of Project • APD Overview • Primary Goals • Current Operations • Geographical Information System • Cell & Grid Development • Statistical & Data Analysis • Incident Concentration • Model Development • Assignment Network (Pure Network) • Recommendations & Results

  4. Executive Summary • Management of Crime • Goal: Reduction of Crime Incidents by 25% over the next 3 years • Insight into class one crimes (burglary, theft, murder, homicides and rape) and raw data

  5. APD Overview • Crime Triangle • Over 300,000 incidents per year • Approx: 40,000 crime related (≈13%)

  6. Current Operations • 4 Police Districts • North, South, East, West • Police Station • How police incidences are recorded • Incidences are assigned priorities • Insight into crime by location limited

  7. Geographical Information System • G.I.S is a system that captures, stores, analyzes, manages and presents data with reference to geographic location • Provides detailed information which is mapable • How do you effective redraw each district boundary line to effectively serve each area?

  8. Grid & Cell Development • Total Cells: 472 • ½ Mile cell structure • 1000 feet cell Structure • Euclidean distance at centroid

  9. ArcGIS

  10. Current Boundary

  11. Statistical & Data Analysis • Bar Chart • Scatter Chart • Arlington total cell statistics • Outlier Cell 206 • Incident Concentration

  12. Combined Cells 1-472

  13. Cell 206

  14. Incident ConcentrationCells: 181, 180, 179, 207, 206, 205, 234, 233, 232, 263, 262, & 261

  15. Incident ConcentrationCells: 181, 180, 179, 207, 206, 205, 234, 233, 232, 263, 262, & 261

  16. Model Development • District Boundaries • Constraints (can be ambiguous) • Distance • Time • Volume • Political • Operational

  17. Model Development Cont. • Assignment Network (Pure Network) • 1888 Variables • 476 Constraints • 1 Objective Function

  18. Model File

  19. Data File

  20. Output File

  21. District Boundary Changes

  22. New Boundary *New Boundaries not placed accordingly to scale*

  23. Recommendations & Results • Plans to help reduce crime incidents in target location: • Immediate Impact • Police towers • Higher Police presence • Reminding safety cards on vehicle windshields • Long Term • Centralized and monitored entrance to mall • Parking Garage vs Parking Lot

  24. Recommendations & Results Cont. • Plans for utilization of assignment network model: • Minor changes in district boundaries

  25. Questions

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