Forecasting Organized Crime Homicides: Risk Terrain Modeling of Camorra Violence in Naples, Italy. (October 2020)
- Record Type:
- Journal Article
- Title:
- Forecasting Organized Crime Homicides: Risk Terrain Modeling of Camorra Violence in Naples, Italy. (October 2020)
- Main Title:
- Forecasting Organized Crime Homicides: Risk Terrain Modeling of Camorra Violence in Naples, Italy
- Authors:
- Dugato, Marco
Calderoni, Francesco
Berlusconi, Giulia - Abstract:
- Mafia homicides are usually committed for retaliation, economic profit, or rivalry among groups. The variety of possible reasons suggests the inefficacy of a preventive approach. However, like most violent crimes, mafia homicides concentrate in space due to place-specific social and environmental features. Starting from the existing literature, this study applies the Risk Terrain Modeling approach to forecast the Camorra homicides in Naples, Italy. This approach is based on the identification and evaluation of the underlying risk factors able to affect the risk of a homicide. This information is then used to predict the most likely location of future events. The findings of this study demonstrate that past homicides, drug dealing, confiscated assets, and rivalries among groups make it possible to predict up to 85% of 2012 mafia homicides, identifying 11% of city areas at highest risk. By contrast, variables controlling for the socio-economic conditions of areas are not significantly related to the risk of homicide. Moreover, this study shows that, even in a restricted space, the same risk factors may combine in different ways, giving rise to areas of equal risk but requiring targeted remedies. These results provide an effective basis for short- and long-term targeted policing strategies against organized crime- and gang-related violence. A similar approach may also provide practitioners, policy makers, and local administrators in other countries with significant support inMafia homicides are usually committed for retaliation, economic profit, or rivalry among groups. The variety of possible reasons suggests the inefficacy of a preventive approach. However, like most violent crimes, mafia homicides concentrate in space due to place-specific social and environmental features. Starting from the existing literature, this study applies the Risk Terrain Modeling approach to forecast the Camorra homicides in Naples, Italy. This approach is based on the identification and evaluation of the underlying risk factors able to affect the risk of a homicide. This information is then used to predict the most likely location of future events. The findings of this study demonstrate that past homicides, drug dealing, confiscated assets, and rivalries among groups make it possible to predict up to 85% of 2012 mafia homicides, identifying 11% of city areas at highest risk. By contrast, variables controlling for the socio-economic conditions of areas are not significantly related to the risk of homicide. Moreover, this study shows that, even in a restricted space, the same risk factors may combine in different ways, giving rise to areas of equal risk but requiring targeted remedies. These results provide an effective basis for short- and long-term targeted policing strategies against organized crime- and gang-related violence. A similar approach may also provide practitioners, policy makers, and local administrators in other countries with significant support in understanding and counteracting also other forms of violent behavior by gangs or organized crime groups. … (more)
- Is Part Of:
- International journal of social psychiatry. Volume 66:Number 19/20(2020)
- Journal:
- International journal of social psychiatry
- Issue:
- Volume 66:Number 19/20(2020)
- Issue Display:
- Volume 66, Issue 19/20 (2020)
- Year:
- 2020
- Volume:
- 66
- Issue:
- 19/20
- Issue Sort Value:
- 2020-0066-NaN-0000
- Page Start:
- 4013
- Page End:
- 4039
- Publication Date:
- 2020-10
- Subjects:
- homicide -- violence exposure -- risk terrain modelling -- organised crime -- crime forecasting
Social psychiatry -- Periodicals
362.205 - Journal URLs:
- http://isp.sagepub.com/ ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/0886260517712275 ↗
- Languages:
- English
- ISSNs:
- 0020-7640
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13618.xml