It is a geocoded information system, effective and easy to use for the police and the local administrations, applicable to any town reality to improve the management activities of security and crime prevention.
eSecurity is not a basic advanced data integration and representation system; the European project has ended today with the presentation of the results at the Faculty of Law.
It helps to comprehend, prevent and evaluate some factors, as citizens insecurity, city disorders, with reference to space and time and to anticipate crimes.
Modular and flexible to various needs, it allows, for example, to pinpoint the city areas where crime is more concentrated, to observe if there are discrepancies between the security perceived by the citizens and the actual real crime rate and the presence of urban disorder in an urban place. Or to understand how city lighting can influence the levels of crime of a neighbourhood or if it is possible to predict future crime concentrations in different city districts.
The idea at the bottom of the project has been experimentally tested for the first time in a Trento district within the European project “eSecurity – ICT for knowledge-based and predictive urban security”, coordinated by the research group eCrime of the Faculty of Law of the University of Trento in collaboration with the Trento Police, Bruno Kessler Foundation and the Trento Municipality.
The project, which stretched over 36 months, from November 2012 till November 2015, has been co-financed by the Eu Commission with about 400 thousand euros (total value 448.660 euro, with FBK co-financing), within the project ISEC 2011 “Prevention of and Fight against Crime” of the Directorate General of Migration and Home Affairs.
eSecurity is based on the idea that aggregate and intelligent data management within a “smart city” can help to know the critical elements of a territory for urban crime and safety, to intervene and find solutions, to evaluate the employed remedies. The system can be used in any urban environment by crossing data coming from very different sources other than the police ones, and putting to work together criminological competences, computer science, spatial and predictive statistics, through an intelligent informative system.
The project, which has seen the city of Trento as an experimental lab, has the goal to create an innovative and geocoded ICT instrument (prototype) of crime data cluster, the levels of insecurity perceived by citizens and urban disorder, finalised to prediction and prevention of crimes and the overall security management, to assist the police authorities and the local administrators of the city.
Information on persecution, insecurity perception, urban physical and social disorder, and other socio-demographic and environmental geocoded variables (for example, urban decor, lighting, climate), can offer useful knowledge and highlight predictive rules about objective and subjective security, to support the police and local administrator actions in the city.
In the attached press release more information regarding th eOctober 26 conference.
In the download box is available a more thorough paper about the project.