Background Predictive policing and crime analytics with a spatiotemporal focus get
increasing attention among a variety of scientific communities and are already being …

Background Several studies have tested the reliability of Risk Terrain Modelling (RTM) by
focusing on different geographical contexts and types of crime or events. However, to date …

Purpose The current study investigates the application of risk terrain modeling (RTM) to
forecast gang violence. RTM is routinely utilized to predict future criminal events in micro …

Incorporating features of the built environment, risk terrain modeling (RTM), is used to
predict future criminal events in micro-units (ie, city blocks). The current study examines the …

The sharp rise in urban crime rates is becoming one of the most important issues of public
security, affecting many aspects of social sustainability, such as employment, livelihood …

Abstract We apply Risk Terrain Modeling (RTM) to identify the factors that predict homeless
related crime at micro grid cells in Los Angeles, CA. We find that place based factors …

This study employs risk terrain modeling to identify the spatial correlates of aggravated
assault and homicide in St. Louis, MO. We build upon the empirical literature by (1) …

Ecologically-focused interventions have taken center stage in addressing a range of social
problems. This book synthesizes the latest research and theoretical advances of these …

In this study, we aimed to investigate the effectiveness of big data-driven predictive policing,
one of the latest forms of technologybased policing, and also the risks of data concentration …

We are pleased to introduce a special issue on risk terrain modeling (RTM) with expert
contributions from around the world. The intent of this issue is to highlight the advances that …