Suchergebnisse

La aplicación de técnicas epidemiológicas al estudio del robo de domicilios ha demostrado que éstos se aglomeran espacio-temporalmente y de forma predecible (Johnson y Bowers, 2004; Johnson, Birks et al., 2007; Townsley et al., 2003). Es decir, una vez que un delito ocurre, es más probable que otro ocurra a poca distancia y poco después del original; en términos epidemiológicos, el riesgo de este tipo de victimización es altamente contagioso. En este estudio, análisis de denuncias de robos de vehículos y sustracciones de objetos en vehículos en los condados de Derbyshire y Dorset (Reino Unido) a lo largo de un año demostraron que estas pautas también son aplicables a la sustracción de objetos en vehículos pero no al robo de vehículos. El trazado de mapas predictivos basados en estos conocimientos podría ser útil y contribuir a la prevención del delito y la detección y detención de delincuentes.

The writing of Bill McWilliams on probation history and practice is briefly reviewed. Bill's plea for a theoretical moral underpinning for practice would, if answered, make the service less vulnerable to the discrediting of its claims that probation is effective in increasing public protection. These claims are ill‐founded, and are only sustainable because of political and criminological disinclination to address the evidence or live with its consequences. The search for a moral underpinning might have led Bill to link probation with current concerns to combat social exclusion. This would involve detailed consideration of the distributive justice–retributive justice nexus and its implications for probation practice. It is argued that concern altruistically to give help to all those damaged by the criminal justice process, victims, witnesses, perpetrators and their families alike, would accord with a secularised but morally grounded version of the police court mission.

Abstract: Data from the British Crime Survey are analysed which suggest that approximately 10% of women with access to a private telephone receive obscene calls per year. Young and middle‐aged women, separated and divorced women, and women living in inner cities, are more prone to victimisation, suggesting that some recipients of obscene calls are known to the caller. Women who have received obscene calls are more worried about burglary of their empty home, sex offences, 'possibly sexual' assault, and mugging than are women not receiving calls. It is suggested that it would be helpful to know more detail about patterns of victimisation: for example, do ex‐directory numbers ever receive obscene calls?

This work provides clear application of a new statistical modeling technique that can be used to recognize patterns in victimization and prevent repeat victimization. The history of crime prevention techniques range from offender-based, to environment/situation-based, to victim-based. The authors of this work have found more accurate ways to predict and prevent victimization using a statistical modeling, based around crime concentration and sub-group profiling with regard to crime vulnerability levels, to predict areas and individuals vulnerable to crime. Following from this prediction, they propose policing strategies to improve crime prevention based on these predictions. With a combination of immediate actions and longer-term research recommendations, this work will be of interest to researchers and policy makers in focused on crime prevention, police studies, victimology and statistical applications

Human physique and behaviour has been shaped by the pressures of natural selection. This is received wisdom in all scientifically informed circles. Currently, the topic of crime is rarely touched upon in textbooks on evolution and the topic of evolution rarely even mentioned in criminology textbooks. This book for the first time explores how an evolution informed criminology has clear implications for enhancing our understanding of the criminal law, crime and criminal behaviour. This book is directed more towards students of criminology than students of evolution. It is sugges