A Crime Prevention System in Spatiotemporal Principles With Repeat, Near-Repeat Analysis and Crime Density Mapping: Case Study Turkey, Trabzon

BEDİROĞLU G., Bediroglu S., ÇOLAK H. E., Yomralıoğlu T.

CRIME & DELINQUENCY, cilt.64, sa.14, ss.1820-1835, 2018 (SSCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 64 Sayı: 14
  • Basım Tarihi: 2018
  • Doi Numarası: 10.1177/0011128717750391
  • Dergi Adı: CRIME & DELINQUENCY
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.1820-1835
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

In this study, we investigated crime events with repeat and near-repeat analysis for Turkey's Trabzon city's crime data after standardization process on raw crime data. First, a new crime geodatabase model was created. All types of recorded crime data for events between the years 2010 and 2014 were standardized, generalized, and Geo-referenced. We gave certain locations to crime events with geocoding techniques. Then, we created density maps of crime events with Kernel method in Geographic Information Systems (GIS). Repeat and near-repeat methods were tested on Burglary crime type in this geodatabase. Studies focused to applying prediction analysis besides showing current situation. These predictive analyses may be applied for all the security, intelligence, or defense departments at local, national, or international levels.