Shiode, Shino and Shiode, N. (2012) Network-based space-time search-window technique for hotspot detection of street-level crime incidents. International Journal of Geographical Information Science 27 (5), pp. 1-17. ISSN 1365-8816.
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.
Metadata
| Item Type: | Article |
|---|---|
| Keyword(s) / Subject(s): | space‐time hotspot, street address, network, search window |
| School: | Birkbeck Faculties and Schools > Faculty of Humanities and Social Sciences > School of Social Sciences |
| Depositing User: | Administrator |
| Date Deposited: | 17 May 2013 09:33 |
| Last Modified: | 02 Aug 2023 17:04 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/6834 |
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