Spatial-Temporal Patterns and Drivers of Illicit Tobacco Trade in Changsha County, China
Jiaojiao Wang; Saike He; Yiyuan Xu; Zhidong Cao; Lei Wang; Daniel Dajun Zeng
2016-10
Conference Namethe 2016 IEEE International Conference on Intelligence and Security Informatics
Source PublicationProceedings paper of the 2016 IEEE International Conference on Intelligence and Security Informatics: Cybersecurity and Big Data
Conference DateSeptember 28-30, 2016
Conference PlaceTucson, Arizona USA
Abstract
Illicit trade in tobacco products (ITTP) would severely disrupt the market order, greatly threaten citizen’s health, and damage the interests of the nation and the consumers, which has attracted great attention of tobacco monopoly administration. Quick and correct detection of the changes and the drivers of ITTP activity would be very significant to the surveillance, tracing, early warning, prediction, prevention and control of the illicit tobacco trade, which are very important challenges for tobacco monopoly administrations in China. In this paper, we introduce spatial-temporal analysis techniques
into detecting the spatial-temporal patterns and drivers of ITTP based on the dataset provided by tobacco monopoly administration of Changsha county in Hunan province, China. The results suggested that ITTP in the county mostly occurred along the downtown-county borders, or nearby the toll stations located on the highway, logistics and freight distribution center and the junction of neighboring areas. Positive correlations were
found between illegal rate and population density, the number of kindergartens and nursery schools, proximity to the borders, the number of the pupils and the middle school students, which was consistent with the previous study and social etiquette. This study could provide important intelligence and clues for the decision makers and make sure that the resources should be allocated as effectively as possible.
KeywordIllicit Trade In Tobacco Products (Ittp) Spatial-temporal Analysis Hotspots Detection Clusters Drivers
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12091
Collection复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
Corresponding AuthorSaike He
Affiliation1.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences
2.Tobacco Monopoly Administration of Changsha County, Changsha, China
3.University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Jiaojiao Wang,Saike He,Yiyuan Xu,et al. Spatial-Temporal Patterns and Drivers of Illicit Tobacco Trade in Changsha County, China[C],2016.
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