Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Language
Publication year range
1.
J Crim Justice ; 86: 102050, 2023.
Article in English | MEDLINE | ID: mdl-36911596

ABSTRACT

On March 10, 2020, the Governor of the State of Michigan, USA, declared a state of emergency in response to COVID-19. Within days, schools were closed; in-person dining was restricted; and lockdowns and precautionary stay-at-home orders were issued. These restrictions dramatically impacted the mobility of offenders and victims through space and time. As routine activities were forced to change and crime generators were closed, did hot spots and risky locations for victimization change as well? The purpose of this research is to analyze potential shifts in high-risk areas for sexual assaults before, during, and after COVID-19 restrictions. Using data from the City of Detroit, Michigan, USA, optimized hot spot analysis and Risk Terrain Modeling (RTM) were used to identify critical spatial factors for the occurrence of sexual assaults before, during, and after COVID-19 restrictions. The results suggested that hot spot areas for sexual assaults were more concentrated during the COVID timeframe, compared to the Pre-COVID timeframe. While blight complaints, public transit stops, points of sale for liquor, and the locations of drug arrests were consistent risk factors for sexual assaults before and after COVID restrictions, other factors, such as casinos and demolitions, were only influential in the COVID period.

3.
Soc Sci Med ; 249: 112860, 2020 Feb 14.
Article in English | MEDLINE | ID: mdl-32106000

ABSTRACT

The purpose of this research is twofold: first, the spatial distribution of 911 emergency calls for service to the police for suicides in progress and threats of suicide in the City of Detroit, Michigan will be explored to determine whether these events exhibit different patterns of spatial clustering. Second, this research will explore the utility of Risk Terrain Modeling (RTM) to assist in our understanding of the locations of calls for service to the police related to suicide threats and suicides in progress. The results suggest that these events are different social phenomenon, both with respect to the spatial clustering of these events as well as qualitative differences in the environmental factors that may contribute to their occurrence.

SELECTION OF CITATIONS
SEARCH DETAIL
...