Dynamic simulation of community crime and crime-reporting behavior

Michael A. Yonas, Jeffrey D. Borrebach, Jessica G. Burke, Shawn T. Brown, Katherine D. Philp, Donald S. Burke, John J. Grefenstette

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An agent-based model was developed to explore the effectiveness of possible interventions to reduce neighborhood crime and violence. Both offenders and non-offenders (or citizens) were modeled as agents living in neighborhoods, with a set of rules controlling changes in behavior based on individual experience. Offenders may become more or less inclined to actively commit criminal offenses, depending on the behavior of the neighborhood residents and other nearby offenders, and on their arrest experience. In turn, citizens may become more or less inclined to report crimes, based on the observed prevalence of criminal activity within their neighborhood. This paper describes the basic design and dynamics of the model, and how such models might be used to investigate practical crime intervention programs.

Original languageEnglish (US)
Title of host publicationSocial Computing, Behavioral-Cultural Modeling and Prediction - 4th International Conference, SBP 2011, Proceedings
Pages97-104
Number of pages8
DOIs
StatePublished - Mar 14 2011
Event4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2011 - College Park, MD, United States
Duration: Mar 29 2011Mar 31 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6589 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2011
CountryUnited States
CityCollege Park, MD
Period3/29/113/31/11

Keywords

  • agent-based model
  • computer simulation
  • crime prevention
  • neighborhood violence

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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