Network-based space-time search-window technique for hotspot detection of street-level crime incidents

Shiode, Shino and Shiode, Narushige 2013. Network-based space-time search-window technique for hotspot detection of street-level crime incidents. International Journal of Geographical Information Science 27 (5) , pp. 866-882. 10.1080/13658816.2012.724175

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Abstract

This study proposes a street-level space‐time hotspot detection method to analyse crime incidents recorded at the street-address level and provides description of the micro-level variation of crime incidents over space and time. It expands the notion of search-window techniques widely used in crime science by developing a method that can account for the spatial‐temporal distribution of crime incidents measured in network distance. The study first describes the methodological framework by presenting the concept of a new type of search window and how it is used in the process of statistical testing for detecting crime hotspots. This is followed by analyses using (1) a simulated distribution of points along the street network, and (2) a set of real street-crime incident data. The simulation study demonstrates that the proposed method is effective in identifying space‐time hotspots, which include those that are not detected by a non-temporal method. The empirical analysis of the drug markets and assaults in downtown Buffalo, New York, revealed a detailed space‐time signature of each type of crime, highlighting the recurrent nature of drug dealing at specific locations as well as the sporadic tendency of assault incidents.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Geography and Planning (GEOPL)
Subjects:	G Geography. Anthropology. Recreation > GF Human ecology. Anthropogeography H Social Sciences > HN Social history and conditions. Social problems. Social reform
Publisher:	Taylor and Francis
ISSN:	1365-8816
Last Modified:	07 Nov 2019 09:05
URI:	https://orca.cardiff.ac.uk/id/eprint/40728

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