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SENSOR: First Year Findings and Development TRUDY LOWE Research Fellow Universities Police Science Institute With the financial.

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Presentation on theme: "SENSOR: First Year Findings and Development TRUDY LOWE Research Fellow Universities Police Science Institute With the financial."— Presentation transcript:

1 SENSOR: First Year Findings and Development TRUDY LOWE Research Fellow Universities Police Science Institute With the financial support of the Prevention of and Fight against Crime Programme European Commission Directorate – General Home Affairs This project has been funded with the support of the European Commission. this communication reflects the views only of the author and the European Commission cannot be held responsible for any use which may be made of the information contained therein

2 Intelligence-orientated Neighbourhood Security Interviews (i-NSI) Public engagement and community intelligence gathering methodology Based upon the Signal Crimes Perspective (Innes, 2004 ) Developed academically, used operationally by NPT officers Conducted annually in London Borough of Sutton since /- 610 respondents across 18 wards each year

3 Systematic: combined demographic and geographic sampling frame widens of the radar to include those harder to hear or less naturally inclined to give their views Proactive: requires police staff to actively seek public views rather than just inviting them Integrated: designed to be used by Neighbourhood Police Teams as an integral part of their role Intelligence-orientated Neighbourhood Security Interviews (i-NSI)

4 Development under the TaRDiS Project: SENSOR i-NSI methodology currently utilises PC – based data capture and analysis software packages The TaRDiS project incorporates funding for the development of a mobile application to simplify and improve the data capture process and subsequent data quality: SENSOR Year 1 saw the development of SENSOR V1.0 for pilot during the 2013 i-NSI data collection sweep

5 Development under the TaRDiS Project: SENSOR Fourteen (14) wards in the London Borough of Sutton collected data as normal using the laptop based i-NSI Capture programme The remaining 4 wards used the SENSOR Application on i-Pads for comparison

6 SENSOR vs. i-NSI Capture i-NSI CaptureSENSOR User InterfaceRequires IT skill and considerable training More intuitive Data Entry LinearityForced down a data entry path More intuitive, flexible data entry MappingManually loadedGPS - based Data downloadManual at the end of sweep from each laptop Real time at the end of each interview to central server Application Updates / bug fixes Manually on each machine Over-air PortabilityHeavy laptopLight i-Pad/Tablet

7 SENSOR: User Survey

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9 SENSOR trial: Operational Lessons from the Pilot Data Capture Linearity: flexibility allowed some elements of data capture to be inadvertently missed by users Quality of 3G/4G signal: mapping had to be manually loaded Data download to one location: difficult to separate individual data records into ward areas Data Analysis: manual analysis time consuming

10 SENSOR V2.0 Re-introduces Linearity: to provide structure for operational ease and to minimise training Additional fields: to better separate out records on central server Data Analysis: automatic analysis algorithms being developed Ready for use across the Borough in May 2014

11 London Borough of Sutton Findings 2013

12 Top Signals Broad consistency year on year Domestic Burglary entered the top 5 signals for the first time Groups of youths 1. Groups of youths 1. Groups of youths 1. Groups of youths 1. Groups of youths 1. Groups of youths 2. Speeding 3. Dog mess3. Inconsiderate parking 3. Graffiti 4. Burglary (domestic) 4. Dog Mess4. Litter 4. Undesirable groups 4. Graffiti4. Litter 5. Inconsiderate parking 5. Litter5. Dog mess 5. Litter 5. Public drinking

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15 Effects Profile Impact of signals is important to understand dissatisfaction and disaffection

16 EffectSignalCoh. ANGER Litter157 Groups of Youths118 Dog Mess115 Inconsiderate Parking101 Effects Profile

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18 Conclusions SENSOR application generally liked by users and lessons from the pilot have been useful in informing the second phase of development LBS signal profile in 2013 shows overall signal counts are decreasing but key problems functioning as drivers of insecurity have remained broadly the same. However there is widespread concern about domestic burglary, putting this signal type in the top five signals across the Borough for the first time.


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