Modeling the Movement of Homicide by Type to Inform Public Health Prevention Efforts

Area of Science:

• Criminology
• Spatial Analysis
• Public Health

Background:

• Homicide is a significant public health concern.
• Understanding the spatial and temporal dynamics of homicide is crucial for effective prevention.

Purpose of the Study:

• To model the spatiotemporal movement of homicide clusters by motive in Newark, New Jersey.
• To investigate differences in clustering and movement patterns among various homicide types.

Main Methods:

• Utilized homicide data (1997-2007) from the Newark Police Department (n=560).
• Geocoded homicide locations and recorded motive and date.
• Employed cluster detection software to analyze spatiotemporal patterns by motive, using census tracts and months as units.

Main Results:

• Gang-motivated homicides demonstrated clustering and diffusion patterns.
• Clusters of gang-motivated homicides overlapped with revenge and drug-motivated homicide clusters.
• Escalating dispute and nonintimate familial homicides clustered but did not diffuse; intimate partner and robbery homicides did not cluster.

Conclusions:

• Homicide types exhibit distinct spatial and temporal clustering behaviors.
• Identifying specific homicide patterns can inform targeted prevention and intervention strategies.
• Tracking homicide diffusion aids in addressing ongoing or emerging crime issues by type.