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Prospective crime mapping in operational context Final report

Prospective crime mapping in operational context Final report

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A simple time-series analysis (see Appendix 3) confirmed that the two areas followed asimilar trend and experienced a similar volume of burglary for the two years before the pilot.At the start of the pilot (August-September) the volume of burglary rose <strong>in</strong> both areas, afterwhich it rema<strong>in</strong>ed somewhat stable <strong>in</strong> the comparison area but fell <strong>in</strong> the pilot area. For themonths of January and February 2006 the volume of burglary <strong>in</strong> the pilot area was the lowestit had been for at least the last five years, be<strong>in</strong>g less than half the volume for the equivalentperiod of time <strong>in</strong> the previous year. 7 For reference, also shown <strong>in</strong> Figure 6.1 are the times atwhich the major implementation outputs of the pilot began.At this po<strong>in</strong>t, it is perhaps useful to provide the reader with a little more <strong>context</strong>ual <strong>in</strong>formationregard<strong>in</strong>g other polic<strong>in</strong>g <strong>in</strong>itiatives implemented <strong>in</strong> ‘A’ Division before or around the time of thepilot. Interviews with the Command Team, LIOs and the analysts for the Division, suggestedthat the only <strong>in</strong>tervention implemented across the Division was the prioritisation of prolific andpriority offenders (PPOs). This began around February 2005 and is ongo<strong>in</strong>g. The aim of the<strong>in</strong>tervention is to target prolific offenders, those who commit the bulk of offences, across theentire BCU with the aim of detect<strong>in</strong>g and consequently reduc<strong>in</strong>g <strong>crime</strong>.Given the focus of this <strong>in</strong>tervention, it is plausible that this could have impacted upon the<strong>in</strong>cidence of burglary before and dur<strong>in</strong>g the pilot period. To see if any changes <strong>in</strong> burglaryoffences observed <strong>in</strong> ‘A’ Division were likely to be attributed to this strategy, the number ofdetections recorded for the seven-month periods before and dur<strong>in</strong>g the pilot were consideredand compared to those <strong>in</strong> ‘C’ Division (which also focused on PPOs). This analysis revealedthat <strong>in</strong> ‘A’ Division the number of detections per 1,000 burglaries <strong>in</strong>creased slightly over time,but less so than it did <strong>in</strong> ‘C’ Division for the same period of time. Moreover, <strong>in</strong> the pilot areathe rate of detections was a little lower for both periods than it was for the same period of timeone year earlier, whereas for the comparison area the reverse was true. This pattern ofresults would suggest that changes <strong>in</strong> the pilot area over time are unlikely to be attributable tothe target<strong>in</strong>g of prolific offenders.Complicated analyses could be conducted to attempt to determ<strong>in</strong>e whether the reduction <strong>in</strong>the <strong>in</strong>cidence of burglary observed was statistically significant. Readers <strong>in</strong>terested <strong>in</strong> whatsuch analyses might show are directed to Appendix 3 of this <strong>report</strong>. However, as alreadydiscussed it is proposed that the <strong>in</strong>terpretation of such analyses would be unclear asimplementation of the pilot on the ground was so limited. Thus, <strong>in</strong> this section a simplemeasure is presented as a guide to the changes observed. The metric computed, an oddsratio, merely contrasts the change <strong>in</strong> the <strong>in</strong>tervention and comparison areas before and after<strong>in</strong>tervention. An odds ratio of one <strong>in</strong>dicates that the changes <strong>in</strong> the two areas werecommensurate, suggest<strong>in</strong>g no change <strong>in</strong> the pilot area. An odds ratio of greater (less) thanone suggests a reduction (<strong>in</strong>crease) <strong>in</strong> the <strong>in</strong>tervention area relative to the change observed<strong>in</strong> the comparison area. The statistical significance of the odds ratio can also be computed(see Lipsey and Wilson, 2001) by estimat<strong>in</strong>g the standard error of the value derived.This technique, which is readily <strong>in</strong>terpretable, has been frequently used <strong>in</strong> researchconcerned with what works <strong>in</strong> reduc<strong>in</strong>g <strong>crime</strong> (for examples, see Welsh and Farr<strong>in</strong>gton, 2006;Gill and Spriggs, 2005), but is not without it critics, particularly for analyses conducted at thesmall area level (for which fluctuations over time may occur even <strong>in</strong> the absence of<strong>in</strong>tervention: Marchant, 2005). However, the problems articulated about this approach arelikely to be less problematic for analyses conducted at the BCU level, for which the variationover time is less of an issue than for smaller areas (see Farr<strong>in</strong>gton and Welsh, 2006). Thus,the approach is used here because it provides a simple assessment of how th<strong>in</strong>gs changed <strong>in</strong>the pilot area relative to the comparator.7 Perhaps ironically, it was at this po<strong>in</strong>t <strong>in</strong> time, dur<strong>in</strong>g which the burglary rate had rema<strong>in</strong>ed stable for the last year,that ‘A’ Division was selected as the pilot location.60

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