Risky places: An analysis of carjackings in Detroit
Document Type
Article
Publication Date
2017
Keywords
Risk terrain modeling, Carjacking, Environmental criminology, Spatial risk factors
Digital Object Identifier (DOI)
https://doi.org/10.1016/j.jcrimjus.2017.07.011
Abstract
The purpose of this research is to apply Risk Terrain Modeling (RTM) to identify spatial indicators that may place citizens at higher risk for carjackings in the City of Detroit, Michigan, USA. While a number of risk factors were tested, the RTM Diagnostic utility identified six that were influential in the best fitting model: proximity to service stations; convenience/grocery/liquor stores; bus stops; residential and commercial demolitions; and areas with high concentrations of drug arrests and restaurants. These factors resulted in relative risk scores that ranged from 1 for the lowest risk areas to 278 for the highest risk areas. This implied that certain locations had an expected rate of carjacking that was 278 times higher than other locations.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Journal of Criminal Justice, v. 52, p. 34-40
Scholar Commons Citation
Lersch, Kim Michelle, "Risky places: An analysis of carjackings in Detroit" (2017). School of Information Faculty Publications. 580.
https://digitalcommons.usf.edu/si_facpub/580
