Crime Travel Demand and Bank Robberies

Crime Travel Demand and Bank Robberies A crime travel demand model was applied to 258 bank robberies that occurred in Baltimore County, Maryland, between 1993 and 1997 to understand the likely travel patterns of bank robbers. The data are assigned to both origin and destination traffic analysis zones, and a predictive model is developed to understand the correlates of the zones where offenders live and those of the zones where the bank robberies occurred. The results support the hypothesis of a vehicle trip from a poorer, denser neighborhood to a nearby bank that was located in a commercial area on a major arterial. Plausible travel routes are analyzed, and an escape route scenario is developed. The results have implications for policing and provide insights into the likely escape routes that bank robbers would use. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Social Science Computer Review SAGE

Crime Travel Demand and Bank Robberies

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Publisher
SAGE
Copyright
© 2007 SAGE Publications
ISSN
0894-4393
eISSN
1552-8286
D.O.I.
10.1177/0894439306298923
Publisher site
See Article on Publisher Site

Abstract

A crime travel demand model was applied to 258 bank robberies that occurred in Baltimore County, Maryland, between 1993 and 1997 to understand the likely travel patterns of bank robbers. The data are assigned to both origin and destination traffic analysis zones, and a predictive model is developed to understand the correlates of the zones where offenders live and those of the zones where the bank robberies occurred. The results support the hypothesis of a vehicle trip from a poorer, denser neighborhood to a nearby bank that was located in a commercial area on a major arterial. Plausible travel routes are analyzed, and an escape route scenario is developed. The results have implications for policing and provide insights into the likely escape routes that bank robbers would use.

Journal

Social Science Computer ReviewSAGE

Published: May 1, 2007

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