Title
Predictive Mapping of Anti-Social Behaviour
Author
Smit, S.K.
van der Vecht, B.
Lebesque, L.H.E.M.
Publication year
2014
Abstract
Predictive mapping of crime and anti-social behaviour is becoming more and more popular as a tool to support police and policy makers. Important ingredients of such models are often demographic and economic characteristics of the area. Since those are hard to influence, we propose to use the environment instead. In this paper, we present a model based on environmental criminology theories that is purely based on the buildings and objects in the neighborhood, such as bars, restaurants and parks. We show the strength and predictive power of this approach on the area of The Hague and Delft and present how the results can be interpreted by policy makers.
Subject
Operations Modelling Resilient Organisations
MSG - Modelling Simulation & Gaming MO - Military Operations STL - Sustainable Transport & Logistics
ELSS - Earth, Life and Social Sciences
Safety and Security
Criminology
Defence, Safety and Security
Data analysis
Environmental criminology.
Machine learning
Predictive modelling
Social behaviour
Demography
To reference this document use:
http://resolver.tudelft.nl/uuid:af223a88-07a4-436e-8ef5-b5abbda8bc5b
DOI
https://doi.org/10.1007/s10610-014-9259-1
TNO identifier
520987
Source
European Journal on Criminal Policy and Research, XX (XX), XX
Bibliographical note
Published online: 9 October 2014
Document type
article