ROBBERY AND THEFT By Brendan Duffy. Preparation Preparation for this analysis involved isolating incidents only related to robbery and theft. The study.

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Presentation transcript:

ROBBERY AND THEFT By Brendan Duffy

Preparation Preparation for this analysis involved isolating incidents only related to robbery and theft. The study area is the University of Utah and the data range is 5 yrs. All information was provided by the Spillman Database; any records missing spatial information was discarded in this analysis. L(x) is the likelihood n is the total number recorder incidents related to robbery and theft. L(x) = amount/n *100, where amount is the value of crime occurrence for each category.

Crime occurrence

Crime Locations: Buildings Most frequent crime location buildings: Medical Center Parking Terrace, University Hospital, University Hospital Parking Terrace, Primary Children’s Medical Center, A. Ray Olpin Union, Kennecott, Museum of Natural History, Warnock Engineering, and Campus bookstore.

Crime Locations: Roads and Lots Most frequent crime location roads and parking lots: Red Butte Canyon Rd, Lot 1, Lot 40, Lot 44, and Lot 94

Day of the week SundayMondayTuesday Wednesda y Thursda y FridaySaturday Count L(x)

Hot Spot Map by Day

Month s JanFebMarAprMayJunJulAugSepOctNovDec Count L(x)

Hot Spot Map by Month

L(x) = amount/n *100, where amount is the value of crime occurrence for each hour in the day. Hours12pm1pm2pm3pm4pm5pm6pm7pm8pm9pm10pm11pm Count L(x) Hours12am1am2am3am4am5am6am7am8am9am10am11am Count L(x)

Findings Most frequent times: 8am, 7am, 6pm, 9am, 12pm, 10am, 3pm Most frequent days: Tuesday, Thursday, Friday Most frequent months: November, January, October, and April Most frequent crime location buildings: Medical Center Parking Terrace, University Hospital, University Hospital Parking Terrace, Primary Children’s Medical Center, A. Ray Olpin Union, Kennecott, Museum of Natural History, Warnock Engineering, and Campus bookstore. Most frequent crime location roads and parking lots: Red Butte Canyon Rd, Lot 1, Lot 40, Lot 44, and Lot 94

Recommendations Pursue improvements to Spillman data: 1. Tie all incidents to a specific location. Address Intersection of roads (1800 E at South Campus Dr.) Parking Lot #’s Building Name or Number Use initial study as a baseline and move forward with comparison analysis every quarter or least twice a year. Perform a time series analysis to compare month to previous months identifying changes in robbery/theft patterns. Consider predictive analysis and modify approach to prevention.

Recommendations (cont.) Analysis findings going forward will show success in strategies and areas for improvement. Correlate class schedules and events to provide further analysis on campus.