کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
506317 | 864892 | 2013 | 16 صفحه PDF | دانلود رایگان |

• We propose an agent-based model to simulate crime in public places.
• The proposed model has been applied to Santiago (Chile) and Vancouver (Canada) and provided reliable results.
• The proposed model can be used to test patrolling strategies as well as predictive crime models.
Policing plays an important role in combating street crime. Though policing actions have a dissuasive impact on criminal behavior, they can also have unpredictable and even undesirable effects such as displacement of crime hot-spots. This paper presents an agent-based simulation model that generates artificial street-crime data which can be used to test different policing strategies in a virtual environment. The model can thus evaluate the strategies’ effectiveness and collateral effects before putting them into practice and provide support for the policing decision-making process. Based on this model, a crime simulator was implemented in Repast Simphony and a series of test simulations on fictitious and real cities were carried out. The proposed formulation was successfully validated, confirming its potential as a powerful tool for the study of street crime.
Journal: Computers, Environment and Urban Systems - Volume 42, November 2013, Pages 26–41