LOCAL VARIANCE IN THE CRIME DROP: A LONGITUDINAL STUDY OF NEIGHBOURHOODS IN GREATER GLASGOW, SCOTLAND
LOCAL VARIANCE IN THE CRIME DROP: A LONGITUDINAL STUDY OF NEIGHBOURHOODS IN GREATER GLASGOW, SCOTLAND
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DOI：
10.1093/bjc/azx022
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发表时间：
2018-01-01
影响因子：
2.6
通讯作者：
Kearns, Ade
中科院分区：
文献类型：
--
作者：
Bannister, Jon;Bates, Ellie;Kearns, Ade
本文报道了一项新的纵向研究，在大格拉斯哥，英国记录的犯罪下降的地方变化。我们部署组轨迹分析（探索空间自相关与本地莫兰的我）和比较的手段，探索随着时间的推移的潜在特征和轨迹的邻里。研究发现，不同邻里犯罪群体的犯罪水平和轨迹有明显区别。高犯罪率和低犯罪率的邻里犯罪轨迹具有空间聚集性和显著的特征差异。空间模式较为有限，但表现出不同犯罪轨迹的邻里犯罪集团的特征之间仍有明显区别。我们认为这些研究结果的研究和政策影响。
This paper reports on a novel longitudinal study of local variation in the decline of recorded crime in Greater Glasgow, United Kingdom. We deploy group trajectory analysis (exploring spatial autocorrelation with Local Moran's I) and comparison of means to explore the underlying characteristics and trajectories of neighbourhoods over time. The research finds marked distinction in the level of crime and trajectories of different neighbourhood crime groups. Neighbourhood crime trajectories with high or low levels of crime exhibit spatial clustering and significant distinction in their characteristics. There is more limited spatial patterning, though still clear distinction between the characteristics of neighbourhood crime groups that exhibit different crime trajectories. We consider the research and policy implications of these findings.