Risk Management in Stalking Victims: A Multi-Agency Approach to Victim Advocacy.

A pilot Multi-Agency Stalking Intervention Programme (MASIP), introduced in three police forces in England, provided among a range of interventions, the delivery of safety planning advice, and needs-based support for stalking victims through a bespoke advocacy service. The ultimate aim of MASIP was to equip victims with tools to manage the variety of harms caused by stalking, as well as enable them to access the criminal justice system with adequate support. This study explores the personal needs of stalking victims from the perspectives of stalking victims, advocates and stakeholders involved in the intervention program, as part of a larger evaluation study conducted by the authors.

A systematic review of tagging as a method to reduce theft in retail environments.

Background: Retailers routinely use security tags to reduce theft. Presently, however, there has been no attempt to systematically review the literature on security tags. Guided by the acronym EMMIE, this paper set out to (1) examine the evidence that tags are effective at reducing theft, (2) identify the key mechanisms through which tags are expected to reduce theft and the conditions that moderate tag effectiveness, and (3) summarise information relevant to the implementation and economic costs of tagging.

The effect of reduced street lighting on road casualties and crime in England and Wales: controlled interrupted time series analysis.

Background: Many local authorities in England and Wales have reduced street lighting at night to save money and reduce carbon emissions. There is no evidence to date on whether these reductions impact on public health. We quantified the effect of 4 street lighting adaptation strategies (switch off, part-night lighting, dimming and white light) on casualties and crime in England and Wales.

A Stab in the Dark?: A Research Note on Temporal Patterns of Street Robbery.

Objectives: Test the influence of darkness in the street robbery crime event alongside temperature.

Methods: Negative binomial regression models tested darkness and temperature as predictors of street robbery. Units of analysis were four 6-hr time intervals in two U.