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Real time geodemographics for reassurance policing and crime prevention

Real time geodemographics for reassurance policing and crime prevention. Paul Richards, UCL CASA ESRC CASE Studentship in collaboration with the Metropolitan Police Service. The Disciplines. Criminology, Policing, Information Systems & Geography. The Problem.

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Real time geodemographics for reassurance policing and crime prevention

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  1. Real time geodemographics for reassurance policing and crime prevention Paul Richards, UCL CASA ESRC CASE Studentship in collaboration with the Metropolitan Police Service

  2. The Disciplines Criminology, Policing, Information Systems & Geography.

  3. The Problem To create a real time geodemographic computer/internet application for reassurance policing and crime prevention to be used by the police and the public.

  4. The Resources • The expertise of CASA, UCL Department of Geography and the wider academic community. • The support of the Metropolitan Police Service. • Access to relevant MPS data.

  5. The expertise of CASA, UCL Department of Geography and the wider academic community Publications Academic Journal Articles • Ashby, D.I. and Longley, P.A. (2005) Geocomputation, Geodemographics and Resource Allocation for Local Policing. Transactions in GIS, 9 (1): 53–72. • Williamson, T., Ashby, D.I. and Webber, R. (2005) Young offenders, schools and the neighbourhood: a new approach to data-analysis for community policing. Journal of Community and Appied Social Psychology, 15 (3): 203-228. • Ashby, D.I. (2005) Policing Neighbourhoods: Exploring the Geographies of Crime, Policing and Performance Assessment. Policing and Society, 15 (4): 435-469. • Williamson, T., Ashby, D.I. and Webber, R. (2006) Classifying Neighbourhoods for Reassurance Policing. Policing and Society, 16 (2): 189-218. • Ashby, D.I., Irving, B. and Longley, P. (2006) Police Reform and the New Public Management Paradigm: matching technology to the rhetoric. Environment and Planning C: in press. Book Chapters and Reviews • Ashby, D.I. and Craglia, M. (2006) ‘Profiling places: Geodemographics and GIS’. Chapter 20 in Newburn, T., Williamson, T. and Wright, A. (2006) Handbook of Criminal Investigation. Cullompton: Willan. • Ashby, D.I. (2003) Book Review: “Planning for Crime Prevention; A TransAtlantic Perspective” by Richard H. Schneider and Ted Kitchen. Environment and Planning B, 30 (3): 477-478.

  6. The expertise of CASA, UCL Department of Geography and the wider academic community Reports • Ashby, D.I. and Webber, R. (2005) High Crime: High Disorder Neighbourhoods. Spatial Analysis and Geodemographics. Report submitted to the Audit Commission. London: UCL. • Ashby, D.I. and Longley, P.A. (2004) Sustainable GIS and Data Sharing Infrastructure. Report submitted to the Metropolitan Police Service, Camden Borough (in association with Camden Primary Care Trust). London: UCL. • Ashby, D.I. and Webber R. (2004) Geodemographics for Reassurance Policing. Report submitted to National Reassurance Policing Programme, Home Office/ACPO. London: UCL. • Haklay, M., Jones, K. and Ashby, D.I. (2004) E-pride Modernisation / CamStats. Report and website submitted to the Metropolitan Police Service, Camden Borough. <http://www.met.police.uk/camden/camstats> London: UCL. • Ashby, D.I. and Webber, R (2004) Recommended standards for the analysis of crime incident data, Version 1.1. Mosaic Crime Analysis Club. Nottingham: Experian Business Strategies / UCL. • Ashby, D.I., Longley, P.A. and Haklay, M. (2003) Inter-Departmental GIS Requirement Analysis. Report submitted to the Metropolitan Police Service, Camden Borough (in association with Camden Primary Care Trust). London: UCL.

  7. The support of the Metropolitan Police Service http://campaigns.direct.gov.uk/policingpledge/

  8. Crime Maps 8. Provide monthly updates on progress, and on local crime and policing issues. This will include the provision of crime maps, information on specific crimes and what happened to those brought to justice, details of what action we and our partners are taking to make your neighbourhood safer and information on how your force is performing. http://maps.met.police.uk/

  9. Reassurance Policing “Recent years have seen falls in recorded crime in England and Wales, although the perception for many has remained that crime is rising. This has been dubbed the reassurance gap and is closely related to concerns over fear of crime and public confidence in the police. Reassurance policing (RP) is seen as a means to address this ‘gap’.” Millie and Herrington (2004)

  10. CRIME – An offence established by criminal law. Recorded Crime complies with Home Office and in the MPS is stored on the CRIS system. Recorded Crime “Fear of Crime” Reported Not Reported/Discovered The British Crime Survey (BCS)attempts to assess the level of crime that is not recorded by police FEAR OF CRIME – a feeling of insecurity/danger at a location and time. Assessed by surveys including the BCS. Not a crime according to the law

  11. Reassurance Policing “concepts” • Signal crimes/incidents – things that increase the fear of crime and change behaviour. • Officers patrolling on foot assigned to a neighbourhood increases a sense of security and decreases the fear of crime. • Officers responding in cars has reduced recorded crime but not the fear of crime. • If the fear of crime is not reduced then the public will start losing confidence in the police.

  12. How is this research going to change the price of fish? OK that’s the history and the policy frame-work, what is this research going to do that is new and useful?

  13. Access to relevant MPS data Is the reassurance gap partly caused by the data gap?

  14. Case Papers Public Space Overt Stops Police Space Overt CAD Custody DIP GPS Crime investigations Operations Police National Computer Intelligence Public Space Covert Police Space Covert

  15. The New Data Set – Computer Aided Despatch (CAD)

  16. Demand and Resource Information System(DARIS)

  17. The New Data Set – Computer Aided Despatch (CAD)

  18. Data Selection

  19. Two possible ways of identifying signal crimes – London Boroughs High “crime” blue Low “crime” brown BCS comparisons crimes 2007/8 CAD 5+ units assigned 2007/8

  20. Two possible ways of identifying signal crimes – London Wards High “crime” blue Low “crime” brown BCS comparisons crimes 2007/8 CAD 5+ units assigned 2007/8

  21. Towards measuring/predicting fear of crime using police data? Integrating reported crime and police incident data with adjustments to allow for under-reporting of crime by reference to BSC data and geodemographic differences of different locations. Possibly also adjusted by police resource data.

  22. Policing Style – Proactivity versus Reactivity Blue Brown

  23. GPS of mobile Patrols and Foot-patrols • Ensure your Neighbourhood Policing Team and other police patrols are visible and on your patch at times when they will be most effective and when you tell us you most need them. We will ensure your team are not taken away from neighbourhood business more than is absolutely necessary. They will spend at least 80% of their time visibly working in your neighbourhood, tackling your priorities. Staff turnover will be minimised. 5. Aim to answer 999 calls within 10 seconds, deploying to emergencies immediately giving an estimated time of arrival, getting to you safely, and as quickly as possible. In urban areas, we will aim to get to you within 15 minutes and in rural areas within 20 minutes.

  24. Geodemographics • Other data sets • Standardisation for comparison • Create a crime geodemographic or overlay on existing Real time • Software • Design • Hosting

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