Guangwen Song

发表

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

Suhong Zhou, Luzi Xiao, Guangwen Song, 2019, Journal of Quantitative Criminology.

Theft from the person in urban China: assessing the diurnal effects of opportunity and social ecology

W. Bernasco, Suhong Zhou, Lin Liu, 2018, Habitat International.

From Residential Neighborhood to Activity Space: The Effects of Educational Segregation on Crime and Their Moderation by Social Context

Lin Liu, Guangwen Song, Yanji Zhang, 2022, Annals of the American Association of Geographers.

The impact of civil registration-based demographic heterogeneity on community thefts

Xi Chen, Xi Chen, Guangwen Song, 2022, Habitat International.

Burglars blocked by barriers? The impact of physical and social barriers on residential burglars' target location choices in China

Suhong Zhou, Luzi Xiao, Guangwen Song, 2021, Comput. Environ. Urban Syst..

Interpretable machine learning models for crime prediction

Guangwen Song, Luzi Xiao, Lin Liu, 2022, Comput. Environ. Urban Syst..

Examining the Relationship between Hukou Status, Perceived Neighborhood Conditions, and Fear of Crime in Guangzhou, China

Suhong Zhou, Fengrui Jing, Lin Liu, 2020, Sustainability.

Effects of ambient population with different income levels on the spatio-temporal pattern of theft: A study based on mobile phone big data

Yuhan Wu, Lin Liu, Guangwen Song, 2023, Cities.

Residents, Employees and Visitors: Effects of Three Types of Ambient Population on Theft on Weekdays and Weekends in Beijing, China

W. Bernasco, Lin Liu, Guangwen Song, 2021, Journal of Quantitative Criminology.

Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery

Guangwen Song, Minxuan Lan, Hanlin Zhou, 2021, Comput. Environ. Urban Syst..

Modeling Spatial Effect in Residential Burglary: A Case Study from ZG City, China

Jianguo Chen, Lin Liu, Suhong Zhou, 2017, ISPRS Int. J. Geo Inf..

Influence of Varied Ambient Population Distribution on Spatial Pattern of Theft from the Person: The Perspective from Activity Space

Guangwen Song, Luzi Xiao, Jianguo Chen, 2022, ISPRS Int. J. Geo Inf..

The impact of community residents’ occupational structure on the spatial distribution of different types of crimes

Guangwen Song, Luzi Xiao, Chong Xu, 2021, Habitat International.

Safety perceptions among African migrants in Guangzhou and Foshan, China

Shenjing He, Lin Liu, Guangwen Song, 2020 .

Testing Indicators of Risk Populations for Theft from the Person across Space and Time: The Significance of Mobility and Outdoor Activity

Suhong Zhou, Luzi Xiao, Guangwen Song, 2018 .

The Long-Term Theft Prediction in Beijing Using Machine Learning Algorithms: Comparison and Interpretation

Guangwen Song, Yanji Zhang, Liang Cai, 2023, Crime & Delinquency.

Explaining Theft Using Offenders' Activity Space Inferred from Residents' Mobile Phone Data

Lin Liu, Guangwen Song, Luzi Xiao, 2023, ISPRS Int. J. Geo Inf..

Journey-to-Crime Distances of Residential Burglars in China Disentangled: Origin and Destination Effects

Lin Liu, Suhong Zhou, Luzi Xiao, 2018, ISPRS Int. J. Geo Inf..