The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
How Do Residential Burglars Select Target Areas?
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Community Structure and Crime: Testing Social-Disorganization Theory
Sampson, R. J., & Groves, W. B. (1989) · American Journal of Sociology · doi:10.1086/229068 · Cited by 4,392
Cited by
Self-Exciting Point Process Modeling of Crime
Mohler, G. O., Short, M. B., Brantingham, P. J., Schoenberg, F. P., & Tita, G. E. (2011) · Journal of the American Statistical Association · doi:10.1198/jasa.2011.ap09546 · Cited by 892
Neighbourhood Characteristics and Reporting Crime
Goudriaan, H., Wittebrood, K., & Nieuwbeerta, P. (2006) · The British Journal of Criminology · doi:10.1093/bjc/azi096 · Cited by 254
Self-citationSantos, R. B., & Santos, R. G. (2016) · Journal of Experimental Criminology · doi:10.1007/s11292-016-9268-9 · Cited by 22
Metadata
- Authors
- Bernasco, W., & Nieuwbeerta, P.
- Venue
- The British Journal of Criminology
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-08-02
- Volume
- 45
- Issue
- 3
- Pages
- 296-315
- ISSN
- 0007-0955 (ISSN-L)
- 1464-3529
- OpenAlex
- W2106516566
- Cited by
- 346
- References
- 1
- FWCI
- 11.40
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: How Do Residential Burglars Select Target Areas? https://app.cochat.ai/papers/10.1093/bjc/azh070
- The paper
- Bernasco, W., & Nieuwbeerta, P. (2005). How Do Residential Burglars Select Target Areas? The British Journal of Criminology. https://doi.org/10.1093/bjc/azh070
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
