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Crime Prevention Based on the Strategic Mapping of Living Conditions

Nicklas Guldåker, Per-Olof Hallin, Kim Nilvall, Manne Gerell

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a theoretically and methodologically grounded GIS-based model for the measurement and mapping of an index of living conditions in urban residential areas across Sweden. Further, the model is compared and evaluated using the Swedish Police’s assessment of crime-exposed areas. The results indicate that the geographically measured vulnerable living conditions overlap to a large extent with the areas assessed to be crime-exposed by the Swedish Police. Over 61% of the police-defined crime-exposed areas are characterized by vulnerable living conditions. The results also show that this overlap is not perfect and that there are vulnerable areas that are not included in the police’s assessment of crime-exposed areas, but which are nonetheless characterized by vulnerable living conditions that could negatively affect the development of crime. It is also proposed that the model and the mapped index of living conditions can provide a more well-grounded scientific basis for the police’s assessment work. As a first step, the Swedish police have implemented the model and the mapped index in the work process employed in their annual identification of crime-exposed or at-risk areas. In addition to assisting the police, the model and the mapped index could also be used to support other societal actors working with vulnerable areas.
Original languageEnglish
Pages (from-to)1-16
Number of pages17
JournalISPRS International Journal of Geo-Information
Volume10 (11)
Issue number719
DOIs
Publication statusPublished - 2021 Oct 26

Bibliographical note

Nicklas Guldåker is a senior lecturer and researcher in human geography at Lund University. His research interests are in the field of fires and fire prevention, but also more broadly in the fields of risk and crisis management, methods of risk and vulnerability analysis, critical infrastructure, urban studies of social unrest and social risks, data driven analysis, geovisualization, and geographical information systems (GIS).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Subject classification (UKÄ)

  • Human Geography

Free keywords

  • living conditions
  • crime prevention
  • crime-exposed areas
  • GIS-model
  • strategic mapping

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