Temporal analysis of aoristic crime Matt Ashby UCL Security Science Doctoral Research Training Centre.

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Presentation transcript:

Temporal analysis of aoristic crime Matt Ashby UCL Security Science Doctoral Research Training Centre

The problem of aoristic crime If you get home to find your house has been burgled, will you be able to tell the police when it happened?

0900 hours The problem of aoristic crime Earliest possible offence time Latest possible offence time 10 hours

Records of 1,396 pedal cycle thefts from railway stations, including offence start and end times and a description of the investigation. Data

0900 hours Earliest possible offence time Latest possible offence time Actual offence time from CCTV (303 crimes)