Examining the relationship between neighborhood environment and residential locations of juvenile and adult migrant burglars in China

Liu, Lin; Feng, Jiaxin; Ren, Fang; Xiao, Luzi

doi:10.1016/j.cities.2018.04.014

Cited by 36 publications

(36 citation statements)

References 56 publications

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“…In response to hypothesis 1, the existence of crime geographical displacement is confirmed. Many empirical studies have confirmed the feasibility of many Western criminology theories in China [30,31,[33][34][35]. Our current research, which is probably the first investigation of crime geographical displacement in China, enriches the literature of the similarities shared by China and Western countries.…”

Section: Discussionsupporting

confidence: 52%

Crime Geographical Displacement: Testing Its Potential Contribution to Crime Prediction

Wang

Liu

Zhou

et al. 2019

IJGI

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Crime geographical displacement has been examined in many Western countries. However, little is known about its existence, distribution, and potential predictive ability in large cities in China. Compared to the existing research, this study contributes to the current research in three ways. (1) It provides confirmation that crime geographical displacement exists in relation to burglaries that occur in a large Chinese city. (2) A crime geographical displacement detector is proposed, where significant displacements are statistically detected and geographically displayed. Interestingly, most of the displacements are not very far from one another. These findings confirm the inferences in the existing literature. (3) Based on the quantitative results detected by the crime geographical displacement detector, a crime prediction method involving crime geographical displacement patterns could improve the accuracy of the empirical crime prediction method by 7.25% and 3.1 in the capture rate and prediction accuracy index (PAI), respectively. Our current study verifies the feasibility of crime displacement for crime prediction. The feasibility of the crime geographical displacement detector and results should be verified in additional areas.

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Section: Discussionsupporting

confidence: 52%

Crime Geographical Displacement: Testing Its Potential Contribution to Crime Prediction

Wang

Liu

Zhou

et al. 2019

IJGI

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“…It is challenging for nonlocals to obtain the Hukou status and thereby get access to these welfare facilities, especially for rural workers who have migrated to the city and have experienced segregation from locals, poverty and reduced well-being (Du et al 2017). Similar to measures of ethnic heterogeneity in the Western case, concentration of 'nonlocal' residents has become an important indicator of social disorganization and crime risk in contemporary research in China (Liu et al 2018;Zhang et al 2007b).…”

Section: Social Disorganizationmentioning

confidence: 99%

Crime Feeds on Legal Activities: Daily Mobility Flows Help to Explain Thieves’ Target Location Choices

et al. 2019

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Objective According to routine activity theory and crime pattern theory, crime feeds on the legal routine activities of offenders and unguarded victims. Based on this assumption, the present study investigates whether daily mobility flows of the urban population help predict where individual thieves commit crimes. Methods Geocoded tracks of mobile phones are used to estimate the intensity of population mobility between pairs of 1616 communities in a large city in China. Using data on 3436 police-recorded thefts from the person, we apply discrete choice models to assess whether mobility flows help explain where offenders go to perpetrate crime. Results Accounting for the presence of crime generators and distance to the offender's home location, we find that the stronger a community is connected by population flows to where the offender lives, the larger its probability of being targeted. Conclusions The mobility flow measure is a useful addition to the estimated effects of distance and crime generators. It predicts the locations of thefts much better than the presence of crime generators does. However, it does not replace the role of distance, suggesting that offenders are more spatially restricted than others, or that even within their activity spaces they prefer to offend near their homes.

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“…Meanwhile, migrant offenders took up 90% among prostitutes and drug traffickers in Guangdong province. In the 2000s, 80% to 90% of police arrests were migrants in Shenzhen and ZG city [34,35]. Recent research proves that the proportion of migrants is criminogenic in Chinese coastal provinces where most of the big cities are located [36].…”

Section: Introductionmentioning

confidence: 99%

An Examination of Spatial Differences between Migrant and Native Offenders in Committing Violent Crimes in a Large Chinese City

Feng

Liu

Long

et al. 2019

IJGI

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Immigrants and natives are generally comparable in committing violent crimes in many Western cities. However, little is known about spatial differences between internal migrant offenders and native offenders in committing violence in contemporary urban China. To address this gap, this research aims to explore spatial variation in violent crimes committed by migrant and native offenders, and examine different effects of ambient population, crime attractors, crime generators, and offender anchor points on these crimes. Offender data, mobile phone data, and points-of-interest (POI) data are combined to explain the crime patterns of these offenders who committed offenses and were arrested from 2012 to 2016 in a large Chinese city by using box maps and negative binomial regression models. It is demonstrated that migrant and native violent crimes vary enormously across space. Ambient population is only positively related to migrant violent crimes. Crime attractors and generators have more significant and stronger correlations with migrant violent crimes, while offender anchor points have a stronger association with native violent crimes. The results reveal that migrant offenders tend to be attracted by larger amounts of people and more affected by crime attractors and generators than native offenders.

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Examining the relationship between neighborhood environment and residential locations of juvenile and adult migrant burglars in China

Cited by 36 publications

References 56 publications

Crime Geographical Displacement: Testing Its Potential Contribution to Crime Prediction

Crime Geographical Displacement: Testing Its Potential Contribution to Crime Prediction

Crime Feeds on Legal Activities: Daily Mobility Flows Help to Explain Thieves’ Target Location Choices

An Examination of Spatial Differences between Migrant and Native Offenders in Committing Violent Crimes in a Large Chinese City

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