Acta Geographica Sinica ›› 2017, Vol. 72 ›› Issue (2): 315-328.doi: 10.11821/dlxb201702011

• Application of GIS in Criminal Geography • Previous Articles     Next Articles

The spatial-temporal distribution and influencing factorsof fraud crime in ZG city, China

Lin LIU1,2(), Chunxia ZHANG1, Jiaxin FENG1, Luzi XIAO1, Zhi HE1, Shuli ZHOU1   

  1. 1. School of Geography Science and Planning, Center of Integrated Geographic Information Anlaysis,Sun Yat-sen University, Guangzhou 510275, China
    2. Department of Geography,University of Cincinnati, Cincinnati, OH 45221-0131, USA
  • Received:2016-06-25 Revised:2017-01-10 Online:2017-02-15 Published:2017-02-15
  • Supported by:
    Key Program of National Natural Science Foundation of China, No.41531178;Research Team Program of Natural Science Foundation of Guangdong Province, China, No.2014A0303120 10;National Science Fund for Excellent Young Scholars, No.41522104;General Program of National Natural Science Foundation of China, No.41171140;Science and Technology Program of Guangdong Province, China, No.2015A020217003


Fraud crime is a widespread social problem that should be taken seriously in modern city. Previous studies mainly focused on personal attributes of victims at the micro level from the perspective of sociology, rather than the environmental factors at the macro level from the perspective of geography. Using methods such as average nearest neighbor analysis, kernel density and negative binomial regression, this paper aims to discuss spatial-temporal characteristics of five types of fraud crime in ZG city, and explore the influencing factors of physical and socioeconomic environment based on the perspective of crime geography. The main results are as follows: (1) Each type of fraud crime has its own characteristics of temporal distribution. However, on the whole, fraud crime takes place on workdays more than on weekends, in the afternoon and evening more than in the morning. It reaches the minimum before dawn. (2) Similar to other urban crimes, the spatial distribution of fraud crime reveals significantly polycentric patterns that follow the trend of distance decay, and hot spots of various fraud crimes are mostly alike except minor differences. Diverse fraud crimes are mostly distributed in the old city, CBD, railway stations, bus stations, urban villages, or around colleges and universities. Each type of fraud crime shows different trends of aggregation and dispersion. (3) Different fraud crimes are influenced by disparate factors, but all of them are highly correlated with physical environment, such as bank branches, tourist attractions, road networks, mixed land use and college or university campuses. Moreover, house ownership, education level, age and urbanization level also have significant effects on fraud crime. The study expands the research of fraud crime to the spatial context and proves that fraud crime conforms to the theoretical assumptions of routine activity theory, which could potentially help reduce fraud.

Key words: ZG city, fraud crime, spatial-temporal distribution, influencing factors