Answer to Question #245941 in English for Indoni

Question

Describe the importance of analysis incident of car theft indicating how such an analysis could aid

The prevention of the car theft

The combating of the car theft

The investigation of the car theft

Answer 1

Motor Vehicle analysis

Motor vehicle theft in non-urban areas does not reveal the well-recognized hot spots often associated

with crime in urban areas. These findings resulted from a study of 2003 vehicle thefts in a four-county

region of western North Carolina comprised primarily of small towns and unincorporated areas. While

the study suggested that point maps have limited value for areas with low volume and geographically

dispersed crime, the steps necessary to create regional maps – including collecting and validating crime

locations with Global Positioning System (GPS) coordinates – created a reliable dataset that permitted

more in-depth analysis. This in-depth analysis was inherently more valuable and identified distinctive

crime patterns in the region. These patterns included:

• Vehicle thefts were widely dispersed – 95% of census block groups (235 of 248) in the region had at

least one of 633 thefts during the year.

• The risk of vehicle theft was significantly higher in areas with higher concentrations of rental housing

and areas with manufacturing or industrial land use.

• In contrast to vehicle theft in urban areas, business premises were common theft locations in the

region; “risky facilities” such as car dealerships and repair shops were prominent among these theft

locations.

• An unusually high number of vehicles other than cars and trucks were stolen. These “hot products”

included ATVs and mopeds.

In contrast to point maps, these findings of the nature of stolen vehicles pointed law enforcement

towards particular crime prevention strategies. It is unlikely that such patterns – and the suggested

responses – would have emerged without aggregate regional data about vehicle theft. While the study

revealed that address data were initially weak for spatial analysis, there are relatively simple ways to

improve data quality; the findings suggest efforts to improve data quality would yield essential benefits

in crime prevention. Research Approach