TY - JOUR
T1 - Risky places: An analysis of carjackings in Detroit
AU - Lersch, Kim Michelle
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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.
AB - 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.
KW - Risk terrain modeling
KW - Carjacking
KW - Environmental criminology
KW - Spatial risk factors
UR - https://digitalcommons.usf.edu/si_facpub/580
UR - https://doi.org/10.1016/j.jcrimjus.2017.07.011
U2 - 10.1016/j.jcrimjus.2017.07.011
DO - 10.1016/j.jcrimjus.2017.07.011
M3 - Article
VL - 52
JO - Journal of Criminal Justice
JF - Journal of Criminal Justice
ER -