|
|
|
|
|
Lin Liu, Chenchen Li, Luzi Xiao and Guangwen Song
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 othe...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chunxia Zhang, Lin Liu, Suhong Zhou, Jiaxin Feng, Jianguo Chen and Luzi Xiao
Fraud crime against seniors has become a serious social problem both at home and abroad. While most of the relevant research focuses on non-contact fraud against seniors, a few studies attend to contact fraud targeted at seniors. By constructing a theore...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guangwen Song, Chunxia Zhang, Luzi Xiao, Zhuoting Wang, Jianguo Chen and Xu Zhang
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. ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jianguo Chen, Lin Liu, Luzi Xiao, Chong Xu and Dongping Long
Negative binomial (NB) regression model has been used to analyze crime in previous studies. The disadvantage of the NB model is that it cannot deal with spatial effects. Therefore, spatial regression models, such as the geographically weighted Poisson re...
ver más
|
|
|
|
|
|
|
|
|
|
|
Luzi Xiao, Lin Liu, Guangwen Song, Stijn Ruiter and Suhong Zhou
|
|
|
|
|
|
|
|
|
|
|
Jianguo Chen, Lin Liu, Suhong Zhou, Luzi Xiao and Chao Jiang
|
|
|
|
|
|
|
|
|
|
|
Jianguo Chen, Lin Liu, Suhong Zhou, Luzi Xiao, Guangwen Song and Fang Ren
|
|
|
|
|
|