G Song
Datos Biográficos
| ID | 7087 |
|---|---|
| NOMBRE | G Song |
| NOMBRES | G |
| APELLIDO | Song |
| FIRMA | SONG G |
| AFILIACIONES | Guangzhou University |
| ORCID | 0000-0002-0090-7118 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 36 |
| TOTAL DE CITAS | 43 |
| TOTAL COMO AUTOR | 36 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2007 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 5 |
Neighborhood Context Shapes Effects of Physical Disorder and Spatial Knowledge on Burglars’ Location Choice
Examining Duration of Deterrent Effects of Police Stops on Street Crime in China
Associations of physical fitness with sleep quality and anxiety Among university students
Background Poor sleep quality and anxiety are prevalent among university students and pose growing public health concerns. Physical fitness is often assumed to be associated with better sleep and mental health outcomes; however, evidence based on objectively measured physical fitness in non-clinical student populations remains limited and inconsistent. Objective This study aimed to examine the associations between multiple objectively assessed ph…
Revealing the impact of different ambient populations on theft during the Covid-19 pandemic in China
Investigating the differences in influencing factors on burglaries in migrant communities, local communities, and mixed communities
Burglaries have detrimental effects on urban residents’ life quality and property safety. Prior research has overlooked the heterogeneity of factors influencing the spatial distribution of burglaries across different types of urban communities. To fill this gap, this study makes an in-depth investigation by taking ZG City, a coastal city in southeast China, as an example and differentiating communities as Local Communities (LCs), Migrant Communit…
Factors influencing the spatial distribution of police stops and their efficacy in crime prevention and control
Targeted police stops are frequently carried out by police in response to real-world needs. The effectiveness of various purpose-driven police stop tactics on crime prevention and control varies. However, existing research has neither identified the associated factors of police stops nor explored their impact on crime with different factors. Therefore, this study focuses on the main urban areas of megacities along the southeast coast of China. Th…
Effectiveness of mobile mindfulness training on stress, burnout, and work engagement of office workers
Background: Work stress has a detrimental impact on individual health and corporate efficiency and productivity. Mindfulness reduces workers' stress and burnout and increases work engagement and performance. Smartphone-based interventions could be an alternative to provide customized training without geographical or economic constraints. This study aims to investigate whether mobile mindfulness training (MMT) improves office workers' stress, burn…
The Impact of Residents’ Daily Internet Activities on the Spatial Distribution of Online Fraud
In recent years, there has been a sharp increase in the number of online fraud cases. However, research on crime geography has paid little attention to online crimes, especially to the influencing factors behind their spatial distributions. Online fraud is closely related to people’s daily internet use. The existing literature has explored the impact of internet use on online crimes based on small samples of individual interviews. There is a lack…
Can delivery riders act as informal guardians in crime prevention
The Long-Term Theft Prediction in Beijing Using Machine Learning Algorithms
To advance the interpretability of machine learning for long-term crime prediction in China, we compared the performance of multiple machine learning algorithms in predicting the spatial pattern of theft in Beijing. Gradient boosting decision tree emerged as the algorithm with best predictive accuracy. After identifying the importance of criminogenic features, we extended the interpreter SHAP to reveal nonlinear and spatially heterogeneous associ…
Effectiveness of Mindfulness and Qigong Training for Self-Healing in patients with Hwabyung and depressive disorder
https://cris.nih.go.kr/cris/search/detailSearch.do?seq=26882&status=5&seq_group=25511&search_page=M, identifier KCT0008937
Comparing criminal's journey to crime and people's routine travel
The time-lagged effect of noise exposure on noise annoyance
Unraveling the influence of income-based ambient population heterogeneity on theft spatial patterns
While previous research has underscored the profound influence of the ambient population distribution on the spatial dynamics of crime, the exploration regarding the impact of heterogeneity within the ambient population, such as different income groups, on crime is still in its infancy. With the support of mobile phone big data, this study constructs an index of ambient population heterogeneity to represent the complexity of the social environmen…
Understanding neighborhood income segregation around the clock using mobile phone ambient population data
This study examines the temporal changes in income segregation within the ambient population around the clock using mobile phone big data. It employs ordinal entropy, a metric suited for measuring segregation among ordered groups, to quantify the level of segregation among eight income groups within micro-geographic units throughout the 24-h period on a weekday and a weekend day in the urban core of Guangzhou, China. The study further decomposes …
Causal Effect of Small Businesses on Street Theft
Investigating the diurnal effects of on-street population and streetscape physical environment on street theft crime
Educational inequality or educational segregation? The determinants of criminal activities in 288 Chinese cities
Unraveling the complex nexus
Explaining Theft Using Offenders’ Activity Space Inferred from Residents’ Mobile Phone Data
Both an offender’s home area and their daily activity area can impact the spatial distribution of crime. However, existing studies are generally limited to the influence of the offender’s home area and its immediate surrounding areas, while ignoring other activity spaces. Recent studies have reported that the routine activities of an offender are similar to those of the residents living in the same vicinity. Based on this finding, our study propo…
Residents, Employees and Visitors
Objectives: The residential population of an area is an incomplete measure of the number of people that are momentarily present in the area, and of limited value as an indicator of exposure to the risk of crime. By accounting for the mobility of the population, measures of ambient population better reflect the momentary presence of people. They have therefore become an alternative indicator of exposure to the risk of crime. This study considers t…
Effects of ambient population with different income levels on the spatio-temporal pattern of theft
Influence of Varied Ambient Population Distribution on Spatial Pattern of Theft from the Person
The ambient population has been regarded as an important indicator for analyzing or predicting thefts. However, the literature has taken it as a homogenous group and seldom explored the varied impacts of different kinds of ambient populations on thefts. To fill this gap, supported by mobile phone trajectory data, this research investigated the relationship between ambient populations of different social groups and theft in a major city in China. …
Interpretable machine learning models for crime prediction
Residents’ Location-Based Fear of Theft and Their Impact Factors in Guangzhou, China
While the fear of theft is common and is known to lead to lower satisfaction with life and subjective well-being, current literature regards the fear of theft as a stable psychological state and ignores discrepancies based on location and their influencing factors. To fill these gaps, we selected 74 typical communities and collected 1568 questionnaires throughout Guangzhou. The results show that: (1) the respondents demonstrated significant locat…
Testing Indicators of Risk Populations for Theft from the Person across Space and Time
In recent years, it has increasingly been recognized that due to the uncertain geographic context problem caused by daily human mobility, the residential population is too static to serve as a valid measure of the population at risk for criminal victimization. Various alternative measures have been suggested instead. Guided by the routine activity approach, this study furthers the concept of crime risk population and its measurement across space …
Safety perceptions among African migrants in Guangzhou and Foshan, China
Theft from the person in urban China
The impact of community residents’ occupational structure on the spatial distribution of different types of crimes
From Residential Neighborhood to Activity Space
The segregation–crime relationship is a classic topic in sociology and crime geography, yet existing literature mainly focuses on the impact of racial segregation at the global scale. Little is known about the impact of local segregation of other socioeconomic characteristics such as education level, an important segregation factor for racially homogenous countries like China. Also unknown is their impact beyond the residential domain. Using the …
The impact of civil registration-based demographic heterogeneity on community thefts
Effects of ambient population with different income levels on the spatio-temporal pattern of theft
A study on pertinent influencing factors on teachers’ professional identity
Influences of Temporal Distances, Cover Story, and Probability on Framing Effect
Theft from the person in urban China
Testing Indicators of Risk Populations for Theft from the Person across Space and Time
In recent years, it has increasingly been recognized that due to the uncertain geographic context problem caused by daily human mobility, the residential population is too static to serve as a valid measure of the population at risk for criminal victimization. Various alternative measures have been suggested instead. Guided by the routine activity approach, this study furthers the concept of crime risk population and its measurement across space …
Crime Feeds on Legal Activities
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. Geocoded tracks of mobile phones are used to estimate the intensity of population mobility between pairs of 1616 communities in a large city in …
Safety perceptions among African migrants in Guangzhou and Foshan, China
Burglars blocked by barriers? The impact of physical and social barriers on residential burglars' target location choices in China
Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery
The impact of community residents’ occupational structure on the spatial distribution of different types of crimes
Influence of Varied Ambient Population Distribution on Spatial Pattern of Theft from the Person
The ambient population has been regarded as an important indicator for analyzing or predicting thefts. However, the literature has taken it as a homogenous group and seldom explored the varied impacts of different kinds of ambient populations on thefts. To fill this gap, supported by mobile phone trajectory data, this research investigated the relationship between ambient populations of different social groups and theft in a major city in China. …
Interpretable machine learning models for crime prediction
Residents’ Location-Based Fear of Theft and Their Impact Factors in Guangzhou, China
While the fear of theft is common and is known to lead to lower satisfaction with life and subjective well-being, current literature regards the fear of theft as a stable psychological state and ignores discrepancies based on location and their influencing factors. To fill these gaps, we selected 74 typical communities and collected 1568 questionnaires throughout Guangzhou. The results show that: (1) the respondents demonstrated significant locat…
The impact of civil registration-based demographic heterogeneity on community thefts
From Residential Neighborhood to Activity Space
The segregation–crime relationship is a classic topic in sociology and crime geography, yet existing literature mainly focuses on the impact of racial segregation at the global scale. Little is known about the impact of local segregation of other socioeconomic characteristics such as education level, an important segregation factor for racially homogenous countries like China. Also unknown is their impact beyond the residential domain. Using the …
Explaining Theft Using Offenders’ Activity Space Inferred from Residents’ Mobile Phone Data
Both an offender’s home area and their daily activity area can impact the spatial distribution of crime. However, existing studies are generally limited to the influence of the offender’s home area and its immediate surrounding areas, while ignoring other activity spaces. Recent studies have reported that the routine activities of an offender are similar to those of the residents living in the same vicinity. Based on this finding, our study propo…
Residents, Employees and Visitors
Objectives: The residential population of an area is an incomplete measure of the number of people that are momentarily present in the area, and of limited value as an indicator of exposure to the risk of crime. By accounting for the mobility of the population, measures of ambient population better reflect the momentary presence of people. They have therefore become an alternative indicator of exposure to the risk of crime. This study considers t…
Effects of ambient population with different income levels on the spatio-temporal pattern of theft
Unraveling the influence of income-based ambient population heterogeneity on theft spatial patterns
While previous research has underscored the profound influence of the ambient population distribution on the spatial dynamics of crime, the exploration regarding the impact of heterogeneity within the ambient population, such as different income groups, on crime is still in its infancy. With the support of mobile phone big data, this study constructs an index of ambient population heterogeneity to represent the complexity of the social environmen…
Understanding neighborhood income segregation around the clock using mobile phone ambient population data
This study examines the temporal changes in income segregation within the ambient population around the clock using mobile phone big data. It employs ordinal entropy, a metric suited for measuring segregation among ordered groups, to quantify the level of segregation among eight income groups within micro-geographic units throughout the 24-h period on a weekday and a weekend day in the urban core of Guangzhou, China. The study further decomposes …
Causal Effect of Small Businesses on Street Theft
Investigating the diurnal effects of on-street population and streetscape physical environment on street theft crime
Educational inequality or educational segregation? The determinants of criminal activities in 288 Chinese cities
Unraveling the complex nexus
Investigating the differences in influencing factors on burglaries in migrant communities, local communities, and mixed communities
Burglaries have detrimental effects on urban residents’ life quality and property safety. Prior research has overlooked the heterogeneity of factors influencing the spatial distribution of burglaries across different types of urban communities. To fill this gap, this study makes an in-depth investigation by taking ZG City, a coastal city in southeast China, as an example and differentiating communities as Local Communities (LCs), Migrant Communit…
Factors influencing the spatial distribution of police stops and their efficacy in crime prevention and control
Targeted police stops are frequently carried out by police in response to real-world needs. The effectiveness of various purpose-driven police stop tactics on crime prevention and control varies. However, existing research has neither identified the associated factors of police stops nor explored their impact on crime with different factors. Therefore, this study focuses on the main urban areas of megacities along the southeast coast of China. Th…
Crime Patterns and Interventions (27 obras) · Geography (24 obras) · Computer Science (18 obras) · Sociology (16 obras) · Psychology (15 obras) · Demography (14 obras) · Population (14 obras) · Crime, Illicit Activities, and Governance (13 obras) · China (12 obras) · Mathematics (10 obras)