Discerning the Effects of Rural to Urban Migrants on Burglaries in ZG City with Structural Equation Modeling

Du, Fei; Liu, Lin; Jiang, Chenjuan; Long, Dongping; Lan, Minxuan

doi:10.3390/su11030561

Cited by 12 publications

(9 citation statements)

References 41 publications

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“…Census population has long been utilized as one of the most important factors in analyzing issues related to crimes in the fields of criminology, sociology, economics and many more [1][2][3][4][5][6]. However, it is generally recognized that the vast majority of the available Census population data represent the residential population and cannot capture the ambient population distribution [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

The Spillover Effect of Geotagged Tweets as a Measure of Ambient Population for Theft Crime

et al. 2019

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As a measurement of the residential population, the Census population ignores the mobility of the people. This weakness may be alleviated by the use of ambient population, derived from social media data such as tweets. This research aims to examine the degree in which geotagged tweets, in contrast to the Census population, can explain crime. In addition, the mobility of Twitter users suggests that tweets as the ambient population may have a spillover effect on the neighboring areas. Based on a yearlong geotagged tweets dataset, negative binomial regression models are used to test the impact of tweets derived ambient population, as well as its possible spillover effect on theft crimes. Results show: (1) Tweets count is a viable replacement of the Census population for spatial theft pattern analysis; (2) tweets count as a measure of the ambient population shows a significant spillover effect on thefts, while such spillover effect does not exist for the Census population; (3) the combination of tweets and its spatial lag outperforms the Census population in theft crime analyses. Therefore, the spillover effect of the tweets derived ambient population should be considered in future crime analyses. This finding may be applicable to other social media data as well.

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Section: Introductionmentioning

confidence: 99%

The Spillover Effect of Geotagged Tweets as a Measure of Ambient Population for Theft Crime

et al. 2019

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“…Peixoto et al (2004) [11], ao analisarem indicadores que apontam o movimento e a tendência da violência e medem a eficácia do Estado no combate à criminalidade, mostraram que, embora os registros apontem que a quantidade de crimes ainda seja volumosa em todo o Brasil, várias Unidades da Federação demonstram capacidade de reação, provocando uma queda nos índices, no entanto, não há uma clareza acerca dos motivos das divergências verificadas. Batella e Diniz (2010) [13] concluíram que crimes contra a pessoa tendem a ocorrer com mais frequência em áreas mais vulneráveis socioeconomicamente, conforme já identificado em outros contextos por Du et al (2019). Crimes contra o patrimônio são verificados em maior número em comunidades mais privilegiadas economicamente, ou seja, para crimes contra o patrimônio é determinante a oportunidade que essas comunidades oferecem para a prática delituosa.…”

Section: Resultsunclassified

Segurança e gestão urbana:

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Procopiuck

2021

Rev. bras. segur. pública

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Os atuais níveis de violência põem em xeque os modelos tradicionais de policiamento no Brasil e indicam a necessidade de um tratamento mais holístico e interdisciplinar. No entanto, ainda são raros os trabalhos que lidam com a problemática considerando simultaneamente a criminalidade a paisagem e a percepção de segurança. Assim, este artigo tem por objetivo trazer algumas possibilidades teórico-conceituais e analisar criticamente a produção científica publicada em periódicos nacionais sobre o tema violência e gestão urbana. A busca por artigos se deu na base de dados SciELO, sendo selecionados apenas aqueles que abordam a questão da segurança publica e/ou criminalidade associada ao espaço urbano. Apenas um estudo trata da percepção espacial da violência, considerando simultaneamente a criminalidade a paisagem e a percepção de segurança. Portanto, constatada a carência de análises qualitativas e quantitativas com foco na interdisciplinaridade.

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“…Figure 4g shows the density of people with a bachelor degree or higher (Advanced degree), illustrating that there are strong negative trends in the population with advanced degree in most of the PSMAs, which suggest that increments in the population with advanced degrees contribute to the decrease in drug dealing. The relationship between education level and different types of crime has been widely explored in previous studies, such as burglary [20,50], homicide [22], and robbery [51,52]. The results of the above studies showed that the higher the proportion of people with advanced degrees (such as bachelor's diploma or higher), the lower the number of crimes.…”

Section: Discussionmentioning

confidence: 98%

The Spatial Heterogeneity of Factors of Drug Dealing: A Case Study from ZG, China

Chen

Liu

et al. 2020

IJGI

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Drug addiction and drug-related crime caused by drug dealing are serious problems for many countries. Such problems have gained urgency in China during recent years. However, there has been no research on the relationship between drug dealing and associated factors and its variation over space at a fine scale, such as the police station management area (PSMA), in China. Based on a seven-year data set obtained in ZG city, China, a geographically weighted Poisson regression (GWPR) model was employed to explore the spatial heterogeneity in the relationship between drug dealing and related risk factors, including social-demographic factors and environmental characteristics. The model results indicated that there were more drug dealings in the socially disorganized areas, typically associated with urban villages and floating population. Spatial accessibility had significant impacts on drug dealing. While the main road showed a negative effect, areas with more branch roads and bus stops tended to attract more drug dealings. Additionally, we found that these relationships were spatially nonstationary across space. This research represents the first in discerning spatial variation of drug dealing within a major Chinese city. These findings not only help policy makers better understand drug dealings from a geographical perspective, but can also help them to develop more targeted local intervention strategies.

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Discerning the Effects of Rural to Urban Migrants on Burglaries in ZG City with Structural Equation Modeling

Cited by 12 publications

References 41 publications

The Spillover Effect of Geotagged Tweets as a Measure of Ambient Population for Theft Crime

The Spillover Effect of Geotagged Tweets as a Measure of Ambient Population for Theft Crime

Segurança e gestão urbana:

The Spatial Heterogeneity of Factors of Drug Dealing: A Case Study from ZG, China

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