Understanding neighborhood income segregation around the clock using mobile phone ambient population data by Liang Cai, Guangwen Song, Yanji Zhang

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Unraveling the influence of income-based ambient population heterogeneity on theft spatial patterns: insights from mobile phone big data analysis by Chong Xu, Zhenhao He, Guangwen Song, Debao Chen

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Explaining Theft Using Offenders’ Activity Space Inferred from Residents’ Mobile Phone Data by Lin Liu, Chenchen Li, Luzi Xiao, Guangwen Song

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Journey-to-Crime Distances of Residential Burglars in China Disentangled: Origin and Destination Effects by Luzi Xiao, Lin Liu, Guangwen Song, Stijn Ruiter, Suhong Zhou

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Influence of Varied Ambient Population Distribution on Spatial Pattern of Theft from the Person: The Perspective from Activity Space by Guangwen Song, Chunxia Zhang, Luzi Xiao, Zhuoting Wang, Jianguo Chen, Xu Zhang

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Modeling Spatial Effect in Residential Burglary: A Case Study from ZG City, China by Jianguo Chen, Lin Liu, Suhong Zhou, Luzi Xiao, Guangwen Song, Fang Ren

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