The Spatiotemporal Pattern and Driving Factors of Cyber Fraud Crime in China
文献类型：期刊论文
| 作者 | Chen, Shuai1,2,3,4; Gao, Chundong1,2,4; Jiang, Dong1,2,3,4; Hao, Mengmeng1,2,3,4; Ding, Fangyu1,2,4; Ma, Tian1,2,3,4; Zhang, Shize5; Li, Shunde5 |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 出版日期 | 2021-12-01 |
| 卷号 | 10期号:12页码:12 |
| 关键词 | cyber fraud spatiotemporal pattern driving factors spatial autocorrelation generalized additive model |
| DOI | 10.3390/ijgi10120802 |
| 通讯作者 | Jiang, Dong(jiangd@igsnrr.ac.cn) |
| 英文摘要 | As a typical cybercrime, cyber fraud poses severe threats to civilians' property safety and social stability. Traditional criminological theories such as routine activity theory focus mainly on the effects of individual characteristics on cybercrime victimization and ignore the impacts of macro-level environmental factors. This study aims at exploring the spatiotemporal pattern of cyber fraud crime in China and investigating the relationships between cyber fraud and environmental factors. The results showed that cyber fraud crimes were initially distributed in southeastern China and gradually spread towards the middle and northern regions; spatial autocorrelation analysis revealed that the spatial concentration trend of cyber fraud became more and more strong, and a strong distinction in cyber fraud clustering between the north and the south was identified. To further explain the formative causes of these spatial patterns, a generalized additive model (GAM) was constructed by incorporating natural and social environmental factors. The results suggested that the distribution of cyber fraud was notably affected by the regional economy and population structure. Also, the high incidence of cyber fraud crime was closely associated with a large nonagricultural population, a high proportion of tertiary industry in GDP, a large number of general college students, a longer cable length, and a large numbers of internet users. |
| WOS关键词 | ROUTINE ACTIVITY THEORY ; GENERALIZED ADDITIVE-MODELS ; VICTIMIZATION |
| WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000737200800001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/169247]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Jiang, Dong |
| 作者单位 | 1.Minist Publ Secur Peoples Republ China, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Lab Cyberspace Geog, Beijing 100101, Peoples R China 5.Chinese Acad Sci, Comp Network Informat Ctr, Beijing 100083, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Shuai,Gao, Chundong,Jiang, Dong,et al. The Spatiotemporal Pattern and Driving Factors of Cyber Fraud Crime in China[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2021,10(12):12. |
| APA | Chen, Shuai.,Gao, Chundong.,Jiang, Dong.,Hao, Mengmeng.,Ding, Fangyu.,...&Li, Shunde.(2021).The Spatiotemporal Pattern and Driving Factors of Cyber Fraud Crime in China.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,10(12),12. |
| MLA | Chen, Shuai,et al."The Spatiotemporal Pattern and Driving Factors of Cyber Fraud Crime in China".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 10.12(2021):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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