Aggravating effects of alcohol outlet types on street robbery and aggravated assault in New York City

The Criminogenic Effect of Marijuana Dispensaries in Denver, Colorado: A Microsynthetic Control Quasi-Experiment and Cost-Benefit Analysis

“…The results of the analysis suggest that there may be parallels between marijuana dispensaries and other business types consistently identified as crime generators in the crime-and-place literature. Alcohol outlets, for example, have consistently demonstrated a significant, positive relationship with crime (Feng, Piza, Kennedy, & Caplan, 2018;Wheeler, 2018;White, Gainey, & Triplett, 2015), and in this study it was determined that recreational marijuana dispensaries may have a similar criminogenic effect (Wheeler, 2018). However, despite their relationship to crime, recreational dispensaries also may not involve the same "prompts" that precipitate crime opportunities as alcohol outlets (Wortley, 2008).…”

Micro-Scale, Meso-Scale, Macro-Scale, and Temporal Scale: Comparing the Relative Importance for Robbery Risk in New York City

“…Nonetheless, this assumption is worth exploring more in depth. For example, one study explored whether crime generators have different relationships with crime levels across the boroughs of New York City (Feng et al 2018). Additionally, some recent work has employed a sample of neighborhoods across about 90 cities and assessed whether certain features of the macro city-level environment have independent effects on neighborhood crime beyond mesolevel measures (Lyons, Vélez, and Santoro 2013;Velez, Lyons, and Santoro 2015;Peterson and Krivo 2010).…”

“…This is important given that these effects may not simply scale in a linear fashion over different densities, but may instead exhibit nonlinear effects. One reason that so little research has focused on New York City may be because it is so different from other cities given its very high population and business density (Feng et al 2018;Weisburd, Tellep, and Lawton 2014). However, given the recent push for higher density in cities 4 based on the insights of the new urbanist perspective (Congress for the New Urbanism 2001;…”

“…We build on this approach here in focusing on how this larger macro environment may impact the level of crime on micro-geographic units, even within a single city. By directly measuring the macro context, rather than simply estimating separate models across the boroughs of New York (Feng et al 2018), we argue that our approach has the potential to provide key insights. We also directly assess the amount of unique variance explained by these macro measures compared to the variance explained by the meso level measures as a way to assess the relative importance of this macro scale.…”

Risky Business: Examining the 80-20 Rule in Relation to a RTM Framework

“…That is, we might know both bars and liquor stores influence crime, but when in close proximity to one another, the risk might be even greater, perhaps exponentially, for crime to occur. Prior research has demonstrated the utility of RTM to identifying significant CGAs for a variety of offenses including child maltreatment (Daley et al, 2016), drug dealing (Barnum et al, 2017), aggravated assault (Thomas & Drawve, 2018), gang violence (Valasik, 2018), homeless crimes (Yoo & Wheeler, 2019), robbery (Feng et al, 2019), suicide attempts (Lersch, 2020), opioid overdoses (Chichester et al, 2020), property crime (Andresen & Hodgkinson, 2018;Piza et al, 2017), and terrorism (Marchment et al, 2019). These analyses typically focus on place-based approaches to how prevention resources could be efficiently and effectively allocated based on the underlying diagnostics conducted by RTM.…”