Pitcher, AB;
Johnson, SD;
(2011)
Exploring Theories of Victimization Using a Mathematical Model of Burglary.
J RES CRIME DELINQ
, 48
(1)
83 - 109.
10.1177/0022427810384139.
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Abstract
Research concerned with burglary indicates that it is clustered not only at places but also in time. Some homes are victimized repeatedly, and the risk to neighbors of victimized homes is temporarily elevated. The latter type of burglary is referred to as a near repeat. Two theories have been proposed to explain observed patterns. The boost hypothesis states that risk is elevated following an event reflecting offender foraging activity. The flag hypothesis, on the other hand, suggests that time-stable variation in risk provides an explanation where data for populations with different risks are analyzed in the aggregate. To examine this, the authors specify a series of discrete mathematical models of urban residential burglary and examine their outcomes using stochastic agent-based simulations. Results suggest that variation in risk alone cannot explain patterns of exact and near repeats, but that models which also include a boost component show good qualitative agreement with published findings.
Type: | Article |
---|---|
Title: | Exploring Theories of Victimization Using a Mathematical Model of Burglary |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1177/0022427810384139 |
Keywords: | burglary, mathematical model, repeat victimization, boost hypothesis, risk heterogeneity, agent-based simulation, MULTIPLE VICTIMIZATION, REPEAT, CRIME, PATTERNS, STABILITY, DYNAMICS, BEHAVIOR, OFFENDER, PLACES |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/1302477 |
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