EconPapers    
Economics at your fingertips  
 

Risky places: An analysis of carjackings in Detroit

Kim Michelle Lersch

Journal of Criminal Justice, 2017, vol. 52, issue C, 34-40

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.

Keywords: Risk terrain modeling; Carjacking; Environmental criminology; Spatial risk factors (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0047235217302891
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jcjust:v:52:y:2017:i:c:p:34-40

Access Statistics for this article

Journal of Criminal Justice is currently edited by Matthew DeLisi

More articles in Journal of Criminal Justice from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().

 
Page updated 2018-05-05
Handle: RePEc:eee:jcjust:v:52:y:2017:i:c:p:34-40