13.07.2015 Views

Prospective crime mapping in operational context Final report

Prospective crime mapping in operational context Final report

Prospective crime mapping in operational context Final report

SHOW MORE
SHOW LESS
  • No tags were found...

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

1. IntroductionThis <strong>report</strong> represents a summary of a project concerned with short-term burglary prediction.The work was completed <strong>in</strong> three stages, a short <strong>in</strong>itial research phase to develop andestablish the accuracy of the method, a short development phase dur<strong>in</strong>g which the systemwas ref<strong>in</strong>ed for use <strong>in</strong> one police Basic Command Unit (BCU) with tactical implicationsidentified and discussed, and f<strong>in</strong>ally a six-month field trial to test whether the system could beused <strong>in</strong> an <strong>operational</strong> <strong>context</strong> and how the police engaged with it.The structure of this <strong>report</strong> largely follows the chronology of the research, thereby provid<strong>in</strong>gthe reader with an impression of substance and sequence. The first section is a review of theliterature that <strong>in</strong>formed the project, and the second the empirical research, <strong>in</strong>itial developmentand test<strong>in</strong>g of the system. The third section conta<strong>in</strong>s a discussion of the types of tacticaloption that were orig<strong>in</strong>ally identified as hav<strong>in</strong>g the potential to be used with the system, or atailored variant of it, and the wider ideology of the approach. The fourth section discussesf<strong>in</strong>al ref<strong>in</strong>ements to the system used <strong>in</strong> the field trial, and then reviews how the system waseventually used and police officers’ perceptions of its utility. Lessons learned regard<strong>in</strong>gimplementation are also highlighted and discussed. In the penultimate section, changes <strong>in</strong>patterns of <strong>crime</strong> co<strong>in</strong>cident with the work are explored, and <strong>in</strong> the f<strong>in</strong>al section futuredirections and recommendations are discussed.Background and past researchCrim<strong>in</strong>ological research has demonstrated that <strong>crime</strong> is concentrated. For all <strong>crime</strong> typesanalysed, a small number of victims are repeatedly victimised and hence experience a largeproportion of <strong>crime</strong> (for reviews, see Pease, 1998; Farrell, 2005); a large proportion of <strong>crime</strong>occurs <strong>in</strong> a small number of areas; and a small number of offenders commit a large proportionof <strong>crime</strong> (e.g. Spelman, 1994). In relation to the geographical distribution of <strong>crime</strong>, thismanifests itself as spatial cluster<strong>in</strong>g, with ‘hotspots’ of <strong>crime</strong> such as burglary be<strong>in</strong>g a typicalcharacteristic of deprived areas (e.g. Johnson et al., 1997). These f<strong>in</strong>d<strong>in</strong>gs conform to what ismore generally known as the 80:20 rule. This pattern is not conf<strong>in</strong>ed to <strong>crime</strong> but is a moregeneral phenomenon. For <strong>in</strong>stance, a small proportion of the earth’s surface holds themajority of life on the planet, and a small proportion of earthquakes account for the majority ofdamage caused by them (Clarke and Eck, 2003).For burglary, the focus of the current research, the relationship between different types ofconcentration has also been studied. Specifically, are <strong>in</strong>cidents of repeat burglaryvictimisation the work of a common offender, or do different offenders simply exploit the sameopportunities for <strong>crime</strong>? These explanations have been referred to with<strong>in</strong> the literature as theboost and flag hypotheses, respectively (Pease, 1998). A number of approaches to<strong>in</strong>vestigat<strong>in</strong>g these hypotheses exist, but perhaps the most direct is to exam<strong>in</strong>e data fordetected offences. In their analysis of a sample of data for offenders detected for burglaryoffences, Everson and Pease (2001) demonstrate that 86 per cent of the <strong>in</strong>cidents of repeatvictimisation were committed by the same offenders (see also Everson, 2003). Furthercorroborative evidence comes from studies <strong>in</strong> which offenders have been <strong>in</strong>terviewedregard<strong>in</strong>g their offend<strong>in</strong>g behaviour. Typical f<strong>in</strong>d<strong>in</strong>gs illustrate that around one <strong>in</strong> threeburglars admit to return<strong>in</strong>g to the same property to commit a further offence (Gill andMathews, 1994; Ashton et al. 1998) and their reasons for so do<strong>in</strong>g <strong>in</strong>clude the follow<strong>in</strong>g:“the house was associated with low risk …., they were familiar with the features of thehouse …., to get th<strong>in</strong>gs left beh<strong>in</strong>d or replaced goods.”Ericsson, 1995Perhaps the most succ<strong>in</strong>ct account was given by a Scottish burglar to Mandy Shaw. Uponasked why he returned, he replied “Big house, small van”. Thus, whilst recognis<strong>in</strong>g that somerepeat offences may be committed by unrelated offenders, a consensus of op<strong>in</strong>ion isemerg<strong>in</strong>g that repeat victimisation is largely the work of the same offenders. A further f<strong>in</strong>d<strong>in</strong>gthat supports this conclusion and which has immediate <strong>crime</strong> prevention implications is the1

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!