Predicting offender home location in urban burglary series

M Laukkanen, Pekka Santtila, Patrik Jern, Kenneth Sandnabba

Research output: Contribution to journalArticleScientificpeer-review

16 Citations (Scopus)

Abstract

Residential location of a criminal can be predicted statistically [M. Laukkanen, P. Santtila, Predicting the home location of a serial commercial robber, Forensic Sci. Int. 157 (2006) 71-82]. Examined were: accuracy of the technique for urban burglary series, correlations between way of committing burglary and distance and use of those correlations in enhancing prediction accuracy.DATA78 residential burglary series from Greater Helsinki area, Finland. Series for which the home location prediction was made was never part of the predicting model. Distances between home and crime-site were short (Mdn 3.88km; IQR=1.16-10.10km). Search area of a perpetrator could be limited to 1.95% (Mdn, IQR=0.64-18.70%) of the total study area. For series which conformed to Circle Hypothesis (45%), search area was 0.84% (Mdn, IQR=0.51-2.34%). Correlations between crime features and distance were found to enhance accuracy when features of series hinted short distance: sub-model limited search area to 0.19% (Mdn, IQR=0.07-0.65%).
Original languageUndefined/Unknown
Pages (from-to)224–235
JournalForensic Science International
Volume176
Issue number2-3
DOIs
Publication statusPublished - 2008
MoE publication typeA1 Journal article-refereed

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