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Area of Science:

  • Urban studies
  • Criminology
  • Digital geography

Background:

  • Urban crime significantly impacts city life, affecting migration, housing, and liveability.
  • Traditional urban crime studies often depend on static, institutionally reported data.
  • Digital technologies offer new possibilities for fine-grained spatio-temporal crime analysis.

Purpose of the Study:

  • To demonstrate how digital technologies enable detailed analysis of urban crime over time and space.
  • To investigate bike theft in Amsterdam, a city with a prominent cycling culture and high theft rates.
  • To utilize ubiquitous sensing and active location tracking for crime research.

Main Methods:

  • Leveraging ubiquitous sensing and active location tracking technologies.
  • Analyzing spatio-temporal patterns of bike theft in Amsterdam.
  • Focusing on the intersection of active mobility and urban crime.

Main Results:

  • Active location tracking reveals detailed movement patterns of stolen bikes.
  • Temporal analysis uncovers specific patterns related to bike theft incidents.
  • This research provides novel insights into urban crime dynamics through digital tracking.

Conclusions:

  • Digital technologies, particularly tracking, offer a powerful tool for understanding urban crime.
  • The study enhances the analysis of active mobility and its relationship with urban crime.
  • Findings contribute to more effective urban safety strategies by understanding crime movement.