Unpacking Spatio-Temporal Differences of Risk: An Analysis in Little Rock, Arkansas

• In Event: Risk Terrain Modeling II

Abstract

Risk, similar to crime, is dynamic in nature and varies over space and time. For this reason, it is imperative to understand spatio-temporal influences of features from the landscape to assist police in the understanding of localized crime problems. The current study focuses on Little Rock, Arkansas, which had the 7th highest violent crime rate and 4th highest property crime rate, with cities over 100k persons, in 2014. The goal was to utilize RTM to identify the significant criminogenic features of the landscape by police shift and division. This framework was utilized to demonstrate how risk varies and can be accounted for based on policing practices; thus, informing police of significant risk factors they can approach to develop tailored risk reduction strategies.

Authors

• Vijay Chillar, Rutgers University

• Grant Drawve, University of Arkansas