Purpose: : The purpose of the current study was to identify potential changes in crime generators and attractors based on monthly models in a high-tourist destination.
Design: A Risk Terrain Modeling (RTM) approach was used to assess spatial relationships
between 27 crime generator and attractor types in Atlantic City, New Jersey with robbery
occurrence for the 2015 calendar year. Twelve separate monthly models were run to identify changes in risk factors based on month of the year.
Findings: Results indicated unique significant risk factors based on the month of the year. Over the warmer and summer months, there was a shift in environmental risk factors that falls in line with more of a change in routine activities for residents and tourists and related situational contexts for crime.
Practical Implications: The analytical approach used in the current study could be used by police departments and jurisdictions to understand types of crime generators and attractors influencing local crime occurrence. Subsequent analyses were used by Atlantic City Police Department to direct place-based policing efforts.
Originality/Value: With growing crime and place research that accounts for temporal scales, we advance these endeavors by focusing on a tourist destination, Atlantic City, New Jersey.