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Sarah Yeung Tam Sang
GIS551
December 8, 2015
ANALYSIS OF POLICE
FACILITIES COVERAGE IN
HIGH CRIME AREAS
 City of Toronto
 6 districts
 140 officially recognized
neighbourhoods
 Population of approx. 2.6 M
Study Site Description
Find whether there are enough police stations in high crime rate
areas and to propose new police stations
Objective
Project Description
 City of Toronto – Open Data
 Police Facilities (shapefile)
 Centerline (shapefile)
 Neighbourhood Boundaries (shapefile)
 Toronto Police Service
 Crime Statistics for 2011 (excel)
Data Used & Sources
 Join
 Network Analysis
 Add locations
Tools Used
Data & Tools Description
Methodology Create geodatabase &
Download data from City
of Toronto & TPS
Organize data
Export shapefile as
feature class to
geodatabase
Police Facilities,
Centerlines,
Neighbourhood
Boundaries Data
Compile all crime data in
one spreadsheet
Calculate total crime by
neighbourhoods for 2011
Join tool to combine total
crime spreadsheet to
neighbourhoods with
neighbourhood ID as join
field
Exported as feature
class named total crime
Use definition query to
eliminate un-needed
data from centerlines
Analysis
Perform Network
Analysis by creating
network dataset
50km/hr drive time
without traffic
Add Location Tools to
add police station to new
service area facility
Create New Service
Areas for 1, 3 & 5 minute
drive time from police
facilities
Propose Police Stations
in uncovered high crime
areas
Repeat same process as
Network Analysis
Highest Total Crime Rate
 Compiled all crimes
 Assault
 Sexual Assault
 Break and Enter
 Robbery
 Drug Chargers
 Stolen Vehicle
 Theft
 Murder
 Join to neighbourhood feature class
 Graduated colors to show low to high
crime areas
 Highest Crime Rate – Waterfront
Community (1254)
Adding Centerlines
 Definition Query
 Elimination
 Walkway
 River
 Major Shoreline
 Railway
 Hydroline
 Keeping
 Minor & Major Arterial
 Expressway
 Collector
 AccessRoad
Network Analysis
 Drive Time from police facilities
 1, 3 and 5 minutes @ 50km/h (no traffic)
Final Map of Network Analysis
 Red areas are not
secured by police
service
Proposed Police Stations
 Uncovered Areas
 Downsview airport
 Humber Golf Course
 Racetrack
 Predict spread of sewage from outfall locations to water bodies,
during high storm events
 Predict spread of oil spill from a gas station to groundwater
aquifers
Environmental Applications
Questions
 http://www1.toronto.ca/wps/portal/contentonly?vgnextoid=1a66e
03bb8d1e310VgnVCM10000071d60f89RCRD
 http://www.cbc.ca/toronto/features/crimemap/
 http://www.torontopolice.on.ca/statistics/
References

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GIS Analysis Project

  • 1. Sarah Yeung Tam Sang GIS551 December 8, 2015 ANALYSIS OF POLICE FACILITIES COVERAGE IN HIGH CRIME AREAS
  • 2.  City of Toronto  6 districts  140 officially recognized neighbourhoods  Population of approx. 2.6 M Study Site Description
  • 3. Find whether there are enough police stations in high crime rate areas and to propose new police stations Objective Project Description
  • 4.  City of Toronto – Open Data  Police Facilities (shapefile)  Centerline (shapefile)  Neighbourhood Boundaries (shapefile)  Toronto Police Service  Crime Statistics for 2011 (excel) Data Used & Sources  Join  Network Analysis  Add locations Tools Used Data & Tools Description
  • 5. Methodology Create geodatabase & Download data from City of Toronto & TPS Organize data Export shapefile as feature class to geodatabase Police Facilities, Centerlines, Neighbourhood Boundaries Data Compile all crime data in one spreadsheet Calculate total crime by neighbourhoods for 2011 Join tool to combine total crime spreadsheet to neighbourhoods with neighbourhood ID as join field Exported as feature class named total crime Use definition query to eliminate un-needed data from centerlines Analysis Perform Network Analysis by creating network dataset 50km/hr drive time without traffic Add Location Tools to add police station to new service area facility Create New Service Areas for 1, 3 & 5 minute drive time from police facilities Propose Police Stations in uncovered high crime areas Repeat same process as Network Analysis
  • 6. Highest Total Crime Rate  Compiled all crimes  Assault  Sexual Assault  Break and Enter  Robbery  Drug Chargers  Stolen Vehicle  Theft  Murder  Join to neighbourhood feature class  Graduated colors to show low to high crime areas  Highest Crime Rate – Waterfront Community (1254)
  • 7. Adding Centerlines  Definition Query  Elimination  Walkway  River  Major Shoreline  Railway  Hydroline  Keeping  Minor & Major Arterial  Expressway  Collector  AccessRoad
  • 8. Network Analysis  Drive Time from police facilities  1, 3 and 5 minutes @ 50km/h (no traffic)
  • 9. Final Map of Network Analysis  Red areas are not secured by police service
  • 10. Proposed Police Stations  Uncovered Areas  Downsview airport  Humber Golf Course  Racetrack
  • 11.  Predict spread of sewage from outfall locations to water bodies, during high storm events  Predict spread of oil spill from a gas station to groundwater aquifers Environmental Applications