Recent Research Trends on Geographical Crime Prediction

• Ohyama Tomoya

  筑波大学大学院システム情報工学研究科

• Amemiya Mamoru

  筑波大学システム情報系

• Shimada Takahito

  科学警察研究所犯罪行動科学部犯罪予防研究室

• Nakaya Tomoki

  立命館大学文学部地域研究学域

Bibliographic Information

Other Title

• 地理的犯罪予測研究の潮流
• チリテキ ハンザイ ヨソク ケンキュウ ノ チョウリュウ

Abstract

Geographical crime prediction have been the focus of much research in western countries over the past decade and crime prediction systems are already in use several countries including Japan where a prefectural police department have recently introduced a certain system. However there has been no prior research into this field in Japan. This paper presents a systematic review of geographical crime prediction and discusses their relevance to the Japanese context. We identify four categories of geographical crime prediction methods: (1) surveillance of space-time clusters of crime; (2) estimation of crime intensity based on space-time interaction; (3) prediction of crime risk based on environmental factors; and (4) prediction of crime numbers/possibilities. These categories are based on established theories and have been developed independently of each other. Finally, we suggest directions for future developments of this research field in Japan.

Journal

• Theory and Applications of GIS

  Theory and Applications of GIS 25 (1), 33-43, 2017-06-30

  Geographic Information Systems Association

Keywords

• crime prediction
• crime hotspot
• predictive policing

Details

• CRID: 1390283659836794368
• NII Article ID: 130007777822
• NII Book ID: AN10457305
• DOI: 10.5638/thagis.25.33
• ISSN: 21855633
• ISSN: 13405381
• NDL BIB ID: 028642103
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I028642103
• Web Site: https://www.jstage.jst.go.jp/article/thagis/25/1/25_33/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed