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Arlington Police Department Crime Management Ron Andrews Blake Robinson Advisors: Bill Edmonds, Jim Mallard & Chief Bowman 1
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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 2
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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 3
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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 4
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APD Overview Crime Triangle Over 300,000 incidents per year – Approx: 40,000 crime related (≈13%) 5
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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 6
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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? 7
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Grid & Cell Development Total Cells: 472 ½ Mile cell structure 1000 feet cell Structure Euclidean distance at centroid 8
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ArcGIS 9
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Current Boundary 10
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Statistical & Data Analysis Bar Chart Scatter Chart Arlington total cell statistics Outlier Cell 206 Incident Concentration 11
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Combined Cells 1-472 14
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Cell 206 15
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Incident Concentration Cells: 181, 180, 179, 207, 206, 205, 234, 233, 232, 263, 262, & 261 16
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Incident Concentration Cells: 181, 180, 179, 207, 206, 205, 234, 233, 232, 263, 262, & 261 17
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Model Development District Boundaries Constraints (can be ambiguous) – Distance – Time – Volume – Political – Operational 18
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Model Development Cont. Assignment Network (Pure Network) 1888 Variables 476 Constraints 1 Objective Function 19
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Model File 20
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Data File 21
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Output File 22
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District Boundary Changes 23
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*New Boundaries not placed accordingly to scale* New Boundary 24
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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 25
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Recommendations & Results Cont. Plans for utilization of assignment network model: – Minor changes in district boundaries 26
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Questions 27
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