Hongyong Yuan’s research while affiliated with Tsinghua University and other places

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Publications (1)


Figure 1 : The Chaoyang district in Beijing.  
Table 1 : Near-repeat analysis of burglary risk in Chaoyang district, Beijing (999 simulations)
Figure 3 : Time series of burglary and fi tted curve by AR (1, 2, 4).  
Figure 4 : Scatter plot of residuals generated by AR (1, 2, 4).  
Figure 5 : Monte Carlo simulations results from 999 runs examining the expected frequency of burglary within 7 days and at same location from previous burglary.  
Space-time analysis of burglary in Beijing
  • Article
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February 2013

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647 Reads

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25 Citations

Security Journal

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Hongyong Yuan

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Dengsheng Li

In recent years, in addition to the development of environmental criminology, how crime is distributed in space and have been broadly studied and numerous crime patterns have been discovered. These findings made significant contributions to the progress of problem-oriented policing policy, especially crime forecasting and deployment of police resource. However, for some reasons, this research, especially the spatial and temporal crime analysis, is still absent in China. Therefore, in this article, we collected 5-month burglary recordings in Beijing and use spatio-temporal analysing methods to investigate property offending patterns in the second largest city of China. Initially, descriptive methods are used to analyse the crime patterns in space and time separately; the results indicate that the offences are significantly clustered in space and consecutively correlated with past history in time. Following that work, a disease contagion testing strategy is used to investigate the burglary risk in space and time. The findings indicate that the offence risk communicates at least 3 weeks within 200 m of an offended place, which shows near-repeat pattern. At end of this article, the significance of environmental crime analysis to the crime prevention in China is discussed.

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Citations (1)


... According to the rational choice theory, offenders target more lucrative locations for better earnings. Studies on the role of distance from residence to crime point out that criminals prefer to go farther away to commit burglary for more lucrative targets than the less lucrative ones available nearby (Ackerman and Rossmo, 2015;Vandeviver et al, 2015;Chen et al.,2013). Therefore, regardless of distance from slum or low-class homes, this suburban high-class residential stretch emerges as a hotspot for burglaries. ...

Reference:

GIS based study of burglary crime incidences in Ahmednagar City, Maharashtra, India
Space-time analysis of burglary in Beijing

Security Journal