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Detecting spatial-temporal clusters of violent behavior in South Korea with space-time permutation scan statistics

Yunho Yeom (Police Science Institute, Asan-si, Republic of Korea)

Policing: An International Journal

ISSN: 1363-951X

Article publication date: 9 January 2019

Issue publication date: 23 May 2019

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Abstract

Purpose

The purpose of this paper is to detect spatial-temporal clusters of violence in Gwanak-gu, Seoul with space-time permutation scan statistics (STPSS) and identifies the temporal threshold for such detection to alert law enforcement officers quickly.

Design/methodology/approach

The case study was the Gwanak Police Station Call Database 2017 where civilian calls reporting violence were georeferenced with coordinated points. In analyzing the database, this study used the STPSS requiring only individual case data, such as time and location, to detect clusters of investigated phenomena. This study executed a series of experiments using different minimum and maximum temporal thresholds in detecting clusters of violence.

Findings

Results of the STPSS analyses with different temporal thresholds detected spatial-temporal clusters in Gwanak-gu. Number, location and duration of clusters depended on the temporal settings of the scanning window. Among four models, a model allowing the possible clusters to be detected within a 7-day minimum and 30-day maximum temporal threshold was more representative of reality than other models.

Originality/value

This study illustrates the clustering of violence with the STPSS by detecting spatial-temporal clusters of violence and identifying the appropriate temporal threshold in detecting such clusters. Identification of such a threshold is useful to alert law enforcement officers quickly and enables them to allocate their resources optimally.

Keywords

Citation

Yeom, Y. (2019), "Detecting spatial-temporal clusters of violent behavior in South Korea with space-time permutation scan statistics", Policing: An International Journal, Vol. 42 No. 3, pp. 490-502. https://doi.org/10.1108/PIJPSM-07-2018-0085

Publisher

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Emerald Publishing Limited

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