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Unveiling the relationship between land use types and the temporal signals of crime: An empirical decomposition approach
Environment and Planning B: Urban Analytics and City Science ( IF 3.511 ) Pub Date : 2021-08-11 , DOI: 10.1177/23998083211033304
Chris Brunsdon 1, 2 , Jonathan Corcoran 2
Affiliation  

Whilst some land uses are highly criminogenic, others remain largely free of crime. This patterning is a reflection of the types and timing of daily activities that take place in a given land use and the opportunities that this presents for crime. While the criminology literature has developed a rigorous understanding of geographic component of crime, relatively less emphasis has been placed on the temporal dimension. Here, we address this through applying a technique to examine micro-temporal variations in crime at places. This technique adopts a factor approach to model hourly counts of crime across seven land use types (commercial, residential, parkland, agricultural, medical/hospital, industrial and education) to unveil the number and distribution of crime signals across a 24-hour period along with how these signals mix across each land use type. Results reveal clear and distinct differences between crime type and land use, highlighting the diurnal nature of crime patterns and speak to the literature on risky places and risky times. The utility of our approach lies in its capacity to delineate common temporal rhythms and how these rhythms are shared across different land use types.



中文翻译:

揭示土地利用类型与犯罪时间信号之间的关系:一种经验分解方法

虽然一些土地用途具有高度犯罪性,但其他土地用途基本上没有犯罪。这种模式反映了在给定土地利用中发生的日常活动的类型和时间,以及这为犯罪带来的机会。虽然犯罪学文献对犯罪的地理组成部分有了严格的理解,但对时间维度的重视相对较少。在这里,我们通过应用一种技术来检查地方犯罪的微观时间变化来解决这个问题。该技术采用因子方法对七种土地利用类型(商业、住宅、公园、农业、医疗/医院、工业和教育)以揭示 24 小时内犯罪信号的数量和分布,以及这些信号如何在每种土地利用类型中混合。结果揭示了犯罪类型和土地利用之间的明显差异,突出了犯罪模式的昼夜性质,并与有关危险地点和危险时间的文献相联系。我们方法的效用在于它能够描绘出共同的时间节律以及这些节律如何在不同的土地利用类型之间共享。

更新日期:2021-08-11
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