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Journal ArticleDOI

How Do Residential Burglars Select Target Areas? A New Approach to the Analysis of Criminal Location Choice

Wim Bernasco, +1 more
- 01 May 2005 - 
- Vol. 45, Iss: 3, pp 296-315
TLDR
In this paper, the authors introduced the discrete spatial choice approach to the study of criminal target choice, which is used to assess whether residential burglars are attracted to target areas that are affluent, accessible, and poorly guarded.
Abstract
This paper introduces the discrete spatial choice approach to the study of criminal target choice. The approach is used to assess whether residential burglars are attracted to target areas that are affluent, accessible, and poorly guarded. In addition, the importance of these criteria is postulated to vary across burglars. The theory is tested using data on 548 residential burglaries, committed by 290 burglars from the city of The Hague, the Netherlands. The likelihood of a neighbourhood’s being selected for burglary is heightened by its ethnic heterogeneity, its percentage of single-family dwellings, and its proximity to where the offender lives. The results and prospects of the discrete spatial choice approach for spatial target selection research are discussed. The problem of criminal location choice is a classical one in criminology. It pertains to the descriptive question of where offenders commit their offences, and to the explanatory question of why they commit them there, rather than somewhere else. In the literature, answers to the latter question have involved two general notions that have usually been dealt with separately. The first is the notion that for a crime to occur, a motivated offender must find a suitable target, in the absence of a capable guardian (Cohen and Felson 1979). The second is the notion that crimes tend to occur close to where the offender lives (Baldwin and Bottoms 1976: 78–98; Wiles and Costello 2000; Ratcliffe 2003). This paper combines these two notions, in an attempt to answer the question of how residential burglars select their target areas. For that purpose, we introduce the discrete spatial choice approach. This approach analyses target selection as being influenced by target characteristics and by offender characteristics, simultaneously. We argue that the discrete spatial choice approach is able to integrate previous findings in this field of inquiry, and is a useful theoretical and methodological tool for research in criminal target choice. In the next section, we present a review of the literature on target selection by burglars. Subsequently, we give an overview of earlier methods in the study of criminal location choice, and introduce the discrete spatial choice approach and the closely related conditional logit model. The approach is then applied to residential burglary in the city of The Hague, the Netherlands, using data from police records. The paper concludes with a summary of the main results, and a discussion of the potential and the pitfalls of the discrete spatial choice approach for studying criminal location choice. * Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), PO Box 792, NL-2300 AT Leiden, The Netherlands, email: bernasco@nscr.nl or nieuwbeerta@nscr.nl, telephone: +31 71 5278527. The Haaglanden Police Force provided the crime data used in this study. We acknowledge the contributions of Rieny Albers, Hanneke van Essen, Floor Luykx (NSCR), Astrid Patty and Peter Versteegh (Haaglanden Police Force) to the collection and processing of data. We thank Richard Block, Henk Elffers, Jan de Keijser, Jasper van der Kemp and Peter van Koppen and two anonymous reviewers for constructive comments on a previous version.

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Citations
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Journal ArticleDOI

Self-Exciting Point Process Modeling of Crime

TL;DR: The implementation of self-exciting point process models in the context of urban crime is illustrated using residential burglary data provided by the Los Angeles Police Department to gain insight into the form of the space–time triggering function and temporal trends in the background rate of burglary.
Journal ArticleDOI

A statistical model of criminal behavior

TL;DR: This work focuses on a two-dimensional lattice model for residential burglary, where each site is characterized by a dynamic attractiveness variable, and where each criminal is represented as a random walker.
Journal ArticleDOI

Space-time patterns of risk: A cross national assessment of residential burglary victimization

TL;DR: In this article, the authors analyzed space-time patterns of burglary in 10 areas, located in five different countries, and found that houses within 200 m of a burgled home were at an elevated risk of burglary for a period of at least two weeks.
Journal ArticleDOI

Where offenders choose to attack: a discrete choice model of robberies in chicago*

TL;DR: In this paper, a model of how robbers choose target areas is developed, which draws on various theoretical and empirical traditions, including environmental criminology, journey to crime research, gang research, and social disorganization theory.
Journal ArticleDOI

Neighbourhood Characteristics and Reporting Crime Effects of Social Cohesion, Confidence in Police Effectiveness and Socio-Economic Disadvantage

TL;DR: In this paper, the authors examined the effects of social cohesion and confidence in police effectiveness on the probability that victims report crime to the police, but this has never been properly tested.
References
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Book ChapterDOI

Social Change and Crime Rate Trends: A Routine Activity Approach

TL;DR: In this paper, a "routine activity approach" is presented for analyzing crime rate trends and cycles. But rather than emphasizing the characteristics of offenders, with this approach, the authors concentrate upon the circumstances in which they carry out predatory criminal acts, and hypothesize that the dispersion of activities away from households and families increases the opportunity for crime and thus generates higher crime rates.
Journal ArticleDOI

A law of comparative judgment

TL;DR: The law of comparative judgment as mentioned in this paper is applicable not only to the comparison of physical stimulus intensities but also to qualitative comparative judgments such as those of excellence of specimens in an educational scale.
Journal ArticleDOI

Maximum likelihood estimation of misspecified models

Halbert White
- 01 Jan 1982 - 
TL;DR: In this article, the consequences and detection of model misspecification when using maximum likelihood techniques for estimation and inference are examined, and the properties of the quasi-maximum likelihood estimator and the information matrix are exploited to yield several useful tests.
Journal ArticleDOI

Community Structure and Crime: Testing Social-Disorganization Theory

TL;DR: In this article, a community-level theory that builds on Shaw and McKay's original model is formulated and tested, and the model is first tested by analyzing data for 238 localities in Great Britain constructed from a 1982 national survey of 10,905 residents.
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