• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: Google Scholar, Ulrich's Periodicals Directory,  Crossref and ProQuest, Electronic Journals Library.
    • E-mail: ijimt@ejournal.net
IJIMT 2021 Vol.12(2): 31-35 ISSN: 2010-0248
doi: 10.18178/ijimt.2021.12.2.905

Analyzing the Relationship between Citizen Report and Local Crime Occurrence Tendency Using Broken Windows Theory

Eiji Kano and Kazuhiko Tsuda
Abstract— Municipalities are required to prioritize and solve local problems effectively under human and financial constraints. Preventing local crime is an important challenge among them. One of the major theories of crime prevention is the “broken windows theory,” which states that if a minor crime or a rule infringement is left unaddressed, it may lead to more serious crimes. This theory affected police administrations in some areas, but it was not widely accepted due to problems such as difficulty in verifying its validity and identifying effective measures. There is a possibility that these limitations can be overcome by using data obtained from the citizen report system, which was introduced in municipalities in recent years. This study examines the relationship between local problems and local crimes based on the broken windows theory using citizen report data.

Index Terms— Broken windows theory, citizen report system, FixMyStreet, municipality, open data.

Eiji Kano and Kazuhiko Tsuda are with the University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo, 112-0012, Japan (e-mail: kanoeiji0626@gmail.com).

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Cite: Eiji Kano and Kazuhiko Tsuda, " Analyzing the Relationship between Citizen Report and Local Crime Occurrence Tendency Using Broken Windows Theory," International Journal of Innovation, Management and Technology vol. 12, no. 2, pp. 31-35, 2021.

Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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