Journal
JOURNAL OF CRIMINAL JUSTICE
Volume 44, Issue -, Pages 49-57Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jcrimjus.2015.12.003
Keywords
Crime drop; Spatial analysis; Auto theft
Categories
Funding
- Economic and Social Research Council [RES-000-22-2386, ES/K003771/1, ES/K003771/2, ES/L014971/1]
- ESRC [ES/K003771/2, ES/L014971/2, ES/K003771/1, ES/L014971/1, ES/F015186/1] Funding Source: UKRI
- Economic and Social Research Council [ES/L014971/1, ES/K003771/2, ES/F015186/1, ES/L014971/2, ES/K003771/1] Funding Source: researchfish
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Purpose: Investigate the changes in the spatial patterns of auto theft in Vancouver, British Columbia during a time of a significant crime drop. Methods: Geo-referenced auto theft data, 2003 and 2013, is analyzed considering crime concentrations at the street segment level, kernel density estimation, and a nonparametric spatial point pattern test that identifies the similarity in spatial point patterns. Results: Auto theft in Vancouver has dropped significantly, but does not appear to have a stable crime pattern. Specific and limited areas account for the crime drop in auto theft rather than occurring at all places. These places appear to be related to target suitability and, therefore, opportunity. Conclusions: The crime drop for auto theft in Vancouver has occurred in particular places. This provides support for the implementation of situational prevention efforts. (C) 2016 The Authors. Published by Elsevier Ltd.
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