Risk Terrain Modeling: Seasonality and Predictive Validity

Risk Terrain Modeling: Seasonality and Predictive Validity

This study focuses on crimes involving firearms in Baltimore, Maryland to answer three research questions concerning the effect of seasonality: (1) Do changes in the seasons affect which spatial factors are significantly related to crime?; (2) Does risk terrain modeling have predictive validity on a short-term basis?; and (3) Are the same areas high-risk throughout the year? To accomplish this, the authors ran twelve monthly risk terrain models and one yearly risk terrain model. The study found that risk factors vary by month and that monthly and yearly spatial risk factors do not necessarily overlap. The study also found that risk terrain models retain their predictive validity on a short-term basis. The results are further discussed in relation to whether the same areas are high-risk throughout the course of the year.

Situational Crime Prevention and Worldwide Piracy

Situational Crime Prevention and Worldwide Piracy

Relying on situational crime prevention perspective, this study compares successful and unsuccessful pirate attacks reported to the International Maritime Bureau (IMB) from the year 2000 through 2013 (n = 4,902). The study builds upon the recent work of Shane and Magnuson in Justice Quarterly, pp 1–26 ([2014]), which found various SCP techniques effectively prevented piracy attacks on a global level.