Risk factor and high-risk place variations across different robbery targets in Denver, Colorado

Nathan T. Connealy and Eric L. Piza

Journal of Criminal Justice, 2019, vol. 60, issue C, 47-56

Abstract: Risk Terrain Modeling (RTM) has been effectively used to spatially diagnose risk for crimes such as robbery, aggravated assault, and gun violence. An important contribution is to consider how risk differs across individual crimes and different target types. This study tests four different robbery target types in unique models to examine the potential for variation across significant risk factors and high-risk locations.

Keywords: Risk terrain modeling; Crime generators and attractors; Situational crime prevention; Conjunctive analysis of case configurations; Robbery (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0047235218303490
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:60:y:2019:i:c:p:47-56

DOI: 10.1016/j.jcrimjus.2018.11.003

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 Catherine Liu ().