| As a long-standing traditional crime in the history of human development,trafficking in human beings seriously infringes on the personal rights of citizens and brings great mental suffering and economic loss to the victims and their families,while trafficking is often accompanied by other criminal acts such as fraud,coercion,detention,rape and kidnapping,which hinders the management of social order and easily causes social unrest,and therefore deserves focused attention.At present,most of the studies on human trafficking crimes are focused on law and sociology,and the research on trafficking crimes from the perspective of geography is still at the exploratory and initial stage due to the limitation of data acquisition.In this paper,human trafficking data in all provinces of China was obtained from multi-network platform.Firstly,the network characteristics of human trafficking paths was analyzed by using social network analysis.Secondly,analysis on spatial and temporal hot-spots and aggregation of human trafficking crimes was performed.And finally,the influence analysis of mobile population,urban-rural income gap and education level on the occurrence of human trafficking crimes was accomplished.The main research results are as follows.(1)Spatial and temporal characteristics: In terms of inter-annual variation,Chinese human trafficking crimes show a fluctuating trend,with an overall "hump" shape,and can be divided into four phases: low plateau(1931-1980),first peak(1981-2000),high plateau(2001-2000),and second peak(2011-2020).The second peak period(2011-2020).The number of trafficking crimes in China is highly correlated with family planning policies,legal policies on trafficking,and the efforts of public security departments to combat trafficking.(2)Spatial distribution characteristics: Spatially,the spatial pattern has "three pieces and two lines" : the southwest region,mainly in Yunnan,Guizhou and Sichuan,is the main source of abduction,the north China region around Henan and Shandong Province,the southeast region centered on Guangdong and Fujian,and the southwest region are the main areas of abduction.With these three regions as the main nodes,two major abduction paths are formed: the northern route is from the Yunnan-Guizhou-Chuan region pointing to northern China(Linyi City,Chuzhou City,Puyang City),and the southern route is from the Yunnan-Guizhou-Chuan region pointing to the southeast region(Baise City,Jieyang City,Sanming City).(3)Social network characteristics: provincial and municipal human trafficking crime networks have obvious central and core nodes,and the central and core nodes have a large overlap.The core provinces include a total of 18 provinces such as Yunnan,Guizhou and Fujian,and the core cities include a total of 45 cities such as Quanzhou,Xiamen and Fuzhou.(4)Through global and local spatial auto-correlation analysis,it is found that human trafficking crimes are positively correlated in space,showing HH aggregation characteristics,and mainly concentrated in the southwest and southeast regions.(5)The GWR model was used to analyze the effects of mobile population,urban-rural income gap and education level on the spatial distribution of human trafficking crimes,and the research results showed that mobile population and urban-rural income gap showed positive correlation on human trafficking crimes as a whole,and education level showed negative correlation on human trafficking crimes as a whole.The increase of mobile population and urban-rural income gap will lead to the increase of trafficking crimes,while the increase of education level can suppress the occurrence of trafficking crimes. |
PDF Full Text Request