The relationship between social cohesion and health has been studied for decades. Yet,
due to the contextual nature of this concept, measuring social cohesion remains …

Objectives We illustrate how a machine learning algorithm, Random Forests, can provide
accurate long-term predictions of crime at micro places relative to other popular techniques …

Building on the insights of the self-efficacy literature, this study highlights that collective
efficacy is a collective perception that comes from a process. This study emphasizes that 1) …

The objective was to identify the social mechanisms linking crime and poverty in urban
settings to discuss whether crime should be included in multidimensional poverty measures …

Objectives We examined the effects of victimization on several aspects of well-being in a
longitudinal study of a general population sample. Previous research has often been …

Research Summary In this study, the extent to which hot spots of different crime types
overlapped spatially in Philadelphia, PA, were examined. Multiple techniques were used to …

Although neighborhood studies often focus on the presence of some particular entity and its
consequences for a variety of local processes, a frequent limitation is the failure to account …

Neighborhood characteristics have been associated with various facets of children's health.
This study explored whether adverse neighborhood conditions—particularly violence …

Purpose This study aims to analyse the effect of gun-related violence on housing values,
controlling for the area's crime levels and locational factors. Previous studies that aimed to …

Crime rates per capita are used virtually everywhere to rank and compare cities. However,
their usage relies on a strong linear assumption that crime increases at the same pace as …