Interstitial crime analysis

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Gill, Andy ; Partridge, Henry ; Newton, Andrew D. (2014)
  • Publisher: UCL
  • Subject: H1 | HV
    acm: ComputingMilieux_COMPUTERSANDSOCIETY | ComputingMilieux_LEGALASPECTSOFCOMPUTING

Crime on public transport can be very difficult to analyse. 'Stealth crimes' like pick-pocketing \ud present a particular challenge because victims often have an imprecise knowledge of the location \ud and time of the offence. In this scenario crime has typically been recorded as happening at the \ud reporting station (often at the ‘end of line’) which skews any analysis of the collective crime \ud locations. \ud Interstitial crime analysis (ICA) is a technique which overcomes this problem and improves the \ud estimation of the spatial distribution of crime on networks when the exact location of offences is \ud unknown. Based on the aoristic analysis technique (devised to estimate the temporal distribution of \ud crime when only a time period is known), ICA is used to estimate the location of crimes in the \ud interstices – the intervening spaces - of a network when the location is unknown.
  • References (8)

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