Exploring Spatial Patterns of Property Crime Risks in Changchun, China

Song, Wei; Liu, Daqian

doi:10.4018/jagr.2013070105

Cited by 12 publications

(5 citation statements)

References 66 publications

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“…Similar to the findings of studies conducted in Western countries, the distribution of crimes or hotspots in some Chinese cities displays hourly, daily, weekly and seasonal variation, and some factors that may have impacts on the spatial and temporal pattern of crime have also been verified [7][8][9][10]. The applicability of western criminological theories, such as social disorganization theory [11] and routine activities theory [12], have also been demonstrated by studies conducted in Chinese context [13][14][15]. Nevertheless, few of these studies have focused on long-term changes in crime patterns in China.…”

Section: Introductionsupporting

confidence: 67%

Understanding the Spatiotemporal Pattern of Crimes in Changchun, China: A Bayesian Modeling Approach

et al. 2021

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Chinese cities have been undergoing extraordinary changes in many respects during the process of urbanization, which has caused crime patterns to evolve accordingly. This research applies a Bayesian spatiotemporal model to explore and understand the spatiotemporal patterns of crime risk from 2008 to 2017 in Changchun, China. The overall temporal trend of crime risk, the effects of land use covariates, spatial random effects, and area-specific differential trends are estimated through a Bayesian spatiotemporal model fitted using the Integrated Nested Laplace Approximation (INLA). The analytical results show that the regression coefficient for the overall temporal trend of crime risk changed from significantly positive to negative after the land use variables are incorporated into the Bayesian spatiotemporal model. The covariates of road density, commercial and recreational land per capita, residential land per capita, and industrial land per capita are found to be significantly associated with crime risk, which relates to classic theories in environmental criminology. In addition, some areas still exhibit significantly increasing crime risks compared with the general trend even after controlling for the land use covariates and the spatial random effects, which may provide insights for law enforcement and researchers regarding where more attention is required since there may be some unmeasured factors causing higher crime trend in these areas.

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Section: Introductionsupporting

confidence: 67%

Understanding the Spatiotemporal Pattern of Crimes in Changchun, China: A Bayesian Modeling Approach

et al. 2021

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“…Although still quite limited, some spatially referenced crime data have started becoming available to Chinese researchers, and some research results not only demonstrate the applicability of elements of western criminological theory to contemporary urban China but also reveal important differences in the dynamics of urban crimes in Chinese context (Messner, Lu, Zhang, & Liu, 2007; Song & Liu, 2013; Zhang, Messner, & Liu, 2007). Despite these positive developments, China’s geography of crime is still in its infant stage.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial patterns of violent crimes and neighborhood characteristics in Changchun, China

Liu

Song

Xiu

2014

Australian & New Zealand Journal of Criminology

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Crime is one of the major concerns facing Chinese cities. Using crime data compiled at police precinct level in 2008, this research examines spatial patterns of violent crimes in Changchun, and explores the relationship between the spatial distribution of violent crimes and neighborhood characteristics. Crime rates are applied as a measure of the intensity of violent crimes. Spatial statistics and geographic information systems are used to detect violent crime hot spots, or statistically significant locales of high violent crime rates in Changchun. A multiple linear regression model is calibrated to assess the impacts of contextual neighborhood characteristics on violent crimes. The analytical results demonstrate that the risk or intensity of violent crimes is strongly concentrated in the central city area, and neighborhood socioeconomic, demographic, especially land use characteristics are effective in accounting for the spatial variation in the distribution of violent crimes across the city of Changchun. These findings are largely in line with the routine activities theory, social disorganization theory, and the framework of crime prevention through environmental design, which emphasize the importance of opportunities, local social context, and environmental design in shaping the spatial pattern of and reducing urban crimes.

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“…GeoDa software was used to run a global autocorrelation analysis on the spatial distribution of crimes, roads, and public facilities in Liangshan Prefecture [ 17 , 18 , 19 ]. The results are shown in Table 1 .…”

Section: Resultsmentioning

confidence: 99%

Identifying the Spatio-Temporal Characteristics of Crime in Liangshan Prefecture, China

Cheng

Rao

Tang

et al. 2022

IJERPH

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Crime prevention and governance play critical roles in public security management. Liangshan Yi Autonomous Prefecture in Sichuan Province has a high crime rate, and spatio-temporal analysis of crime in this region could assist with public security management. Therefore, Liangshan Prefecture was selected as the research object in this study. The spatial crime data were obtained from China Judgments Online, and property crime, violent crime, and special crime (i.e., pornography, gambling, drugs, and guns) were analyzed. The findings were as follows. In terms of time characteristics (month, day, and hour), property crime tended to occur in autumn and winter, in the early month, on Wednesdays and Fridays, and at early morning. Violent crime tended to occur in winter and spring, on Mondays and Thursdays, and at night. Special crime occurred in spring and autumn, on Tuesdays, and in the daytime. In terms of spatial features, the central region of Liangshan Prefecture was the focal area for crime. There were obvious low-aggregation areas in the western region for special crime. The eastern region exhibited a high incidence of various crimes. Regarding the spatio-temporal evolution characteristics from 2013 to 2019, there were some obvious hotspots of violent and property crime in downtown and surrounding townships of Xichang City, which is the capital of Liangshan Prefecture. During the study period, the incidence of special crime has an obvious downward trend which shows that there are more new cold spots.

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Exploring Spatial Patterns of Property Crime Risks in Changchun, China

Cited by 12 publications

References 66 publications

Understanding the Spatiotemporal Pattern of Crimes in Changchun, China: A Bayesian Modeling Approach

Understanding the Spatiotemporal Pattern of Crimes in Changchun, China: A Bayesian Modeling Approach

Spatial patterns of violent crimes and neighborhood characteristics in Changchun, China

Identifying the Spatio-Temporal Characteristics of Crime in Liangshan Prefecture, China

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