Name Crime Prediction from Demographics and Mobile Data
Source Università degli Studi di Trento
Hyperlink to Source http://www.researchgate.net/publication/265554568_Once_Upon_a_Crime_Towards_Crime_Prediction_from_Demographics_and_Mobile_Data
Description This paper presents a novel approach to predict crime in a geographic space from multiple data sources, in particular mobile phone and demographic data. The main contribution of the proposed approach lies in using aggregated and anonymized human behavioral data derived from mobile network activity to tackle the crime prediction problem. While previous research efforts have used either background historical knowledge or offenders' profiling, the findings support the hypothesis that aggregated human behavioral data captured from the mobile network infrastructure, in combination with basic demographic information, can be used to predict crime. In the researchers experimental results with real crime data from London they obtain an accuracy of almost 70% when predicting whether a specific area in the city will be a crime hotspot or not. Moreover, they provide a discussion of the implications of their findings for data-driven crime analysis.
Long description
Lead Institution Università degli Studi di Trento
Logo of lead Institution Logo institution
Partners Telefonica I+D, Massachusetts Institute of Technology
Contact name Please login to see contact details
Contact email Please login to see contact details
Info link http://www.researchgate.net/publication/265554568_Once_Upon_a_Crime_Towards_Crime_Prediction_from_Demographics_and_Mobile_Data
Implementation link
Case study link
Video embed code or link to video page
Type Research
Potential for reuse High
Open source N/A
Open Source URL
Data Input Formats
Data Output Formats
Maintenance Requirements
Plug & Play N/A
Outputs compatible with indicators from Official Statistics N/A
Status Pilot
Country use cases
Target Groups
Statistical Institute
Other Government Agencies
Sectors where the innovation can be applied
  • Areas of technological innovation
  • Log Data
  • Areas of management practice innovations
    Use of Alternative Data Sources
    Areas of institutional process innovations
    Framework
    Case Study URL with Public Sector Participation
    Case Study Description
    Picture describing Case Study
    Good practices displayed
    Created On 2014-04-12
    Updated On 2014-04-12
    Status Published
    Framework
    Develop capability improvements
    Manage consumers
    Build




    Comments