Self-organised critical hot spots of criminal activity
被引:46
|
作者:
Berestycki, H.
论文数: 0引用数: 0
h-index: 0
机构:
Ecole Hautes Etud Sci Sociales, CNRS, CAMS, UMR 8557, F-75270 Paris 06, FranceEcole Hautes Etud Sci Sociales, CNRS, CAMS, UMR 8557, F-75270 Paris 06, France
Berestycki, H.
[1
]
Nadal, J-P
论文数: 0引用数: 0
h-index: 0
机构:
Ecole Hautes Etud Sci Sociales, CNRS, CAMS, UMR 8557, F-75270 Paris 06, France
Univ Paris 06, CNRS, ENS,LPS, UMR 8550, F-75231 Paris 05, FranceEcole Hautes Etud Sci Sociales, CNRS, CAMS, UMR 8557, F-75270 Paris 06, France
Nadal, J-P
[1
,2
]
机构:
[1] Ecole Hautes Etud Sci Sociales, CNRS, CAMS, UMR 8557, F-75270 Paris 06, France
[2] Univ Paris 06, CNRS, ENS,LPS, UMR 8550, F-75231 Paris 05, France
In this paper(1) we introduce a family of models to describe the spatio-temporal dynamics of criminal activity. It is argued here that with a minimal set of mechanisms corresponding to elements that are basic in the study of crime, one can observe the formation of hot spots. By analysing the simplest versions of our model, we exhibit a self-organised critical state of illegal activities that we propose to call a warm spot or a tepid milieu(2) depending on the context. It is characterised by a positive level of illegal or uncivil activity that maintains itself without exploding, in contrast with genuine hot spots where localised high level or peaks are being formed. Within our framework, we further investigate optimal policy issues under the constraint of limited resources in law enforcement and deterrence. We also introduce extensions of our model that take into account repeated victimisation effects, local and long range interactions, and briefly discuss some of the resulting effects such as hysteresis phenomena.